From owner-freebsd-ppc@freebsd.org Sun Apr 3 07:02:30 2016 Return-Path: Delivered-To: freebsd-ppc@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id 0B73CB005FC for ; Sun, 3 Apr 2016 07:02:30 +0000 (UTC) (envelope-from markmi@dsl-only.net) Received: from asp.reflexion.net (outbound-mail-211-157.reflexion.net [208.70.211.157]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (Client did not present a certificate) by mx1.freebsd.org (Postfix) with ESMTPS id BF2B712F3 for ; Sun, 3 Apr 2016 07:02:29 +0000 (UTC) (envelope-from markmi@dsl-only.net) Received: (qmail 19023 invoked from network); 3 Apr 2016 07:02:20 -0000 Received: from unknown (HELO mail-cs-02.app.dca.reflexion.local) (10.81.19.2) by 0 (rfx-qmail) with SMTP; 3 Apr 2016 07:02:20 -0000 Received: by mail-cs-02.app.dca.reflexion.local (Reflexion email security v7.90.2) with SMTP; Sun, 03 Apr 2016 03:02:13 -0400 (EDT) Received: (qmail 23008 invoked from network); 3 Apr 2016 07:02:13 -0000 Received: from unknown (HELO iron2.pdx.net) (69.64.224.71) by 0 (rfx-qmail) with SMTP; 3 Apr 2016 07:02:13 -0000 X-No-Relay: not in my network X-No-Relay: not in my network X-No-Relay: not in my network X-No-Relay: not in my network X-No-Relay: not in my network X-No-Relay: not in my network X-No-Relay: not in my network Received: from [192.168.1.8] (c-76-115-7-162.hsd1.or.comcast.net [76.115.7.162]) by iron2.pdx.net (Postfix) with ESMTPSA id 29735B1E001; Sat, 2 Apr 2016 23:06:42 -0700 (PDT) Content-Type: text/plain; charset=utf-8 Mime-Version: 1.0 (Mac OS X Mail 9.3 \(3124\)) Subject: Re: svn commit: r297435 - head: still problems for stage 3 when gcc 4.2.1 is avoided (powerpc64 self-hosted build) From: Mark Millard In-Reply-To: Date: Sat, 2 Apr 2016 23:06:48 -0700 Cc: Dimitry Andric , FreeBSD Toolchain , FreeBSD Current , Gerald Pfeifer , FreeBSD PowerPC ML Content-Transfer-Encoding: quoted-printable Message-Id: <53DAD70E-8DE4-4DBA-BF88-AD7F51B0B816@dsl-only.net> References: <5A0ACA76-6F1D-4975-9E59-2A64BB8EFC77@dsl-only.net> <56FD9757.6040709@FreeBSD.org> <9E3033D5-F416-4B78-97C2-0A0AABF5A49E@dsl-only.net> <56FDA5F9.1090601@FreeBSD.org> <5FDFDC6A-911B-4A77-BCEF-BBB711BFA0AC@FreeBSD.org> <5334F356-982F-40CA-9009-41B59AAC8665@dsl-only.net> To: Warner Losh , Bryan Drewery X-Mailer: Apple Mail (2.3124) X-BeenThere: freebsd-ppc@freebsd.org X-Mailman-Version: 2.1.21 Precedence: list List-Id: Porting FreeBSD to the PowerPC List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sun, 03 Apr 2016 07:02:30 -0000 On 2016-Apr-2, at 3:59 PM, Mark Millard wrote: > [My testing for the likes of the below does not yet extend outside = powerpc64 contexts.] >=20 > For the likes of self-hosted powerpc64-xtoolchain-gcc/powerpc64-gcc = use with, say, gcc49 materials as the so-called "host" compiler tools I = have not yet found a way around using the workaround: >=20 >> # ls -l /usr/lib/libstdc++.* >> lrwxr-xr-x 1 root wheel 17 Feb 23 00:09 /usr/lib/libstdc++.a -> = /usr/lib/libc++.a >> lrwxr-xr-x 1 root wheel 18 Feb 23 00:09 /usr/lib/libstdc++.so -> = /usr/lib/libc++.so >=20 >=20 >=20 > But I appear to now have a src.conf (or a family of them) that avoids = needing workarounds in /usr/local/include and /usr/local/lib for = filename conflicts. This is based on CC/CXX ("HOST") and XCC/XCXX = ("CROSS") in src.conf being the likes of: >=20 > "HOST" (CC/CXX): >> CC=3Denv C_INCLUDE_PATH=3D/usr/include /usr/local/bin/gcc49 = -L/usr/lib >> CXX=3Denv C_INCLUDE_PATH=3D/usr/include = CPLUS_INCLUDE_PATH=3D/usr/include/c++/v1 /usr/local/bin/g++49 -std=3Dc++11= -nostdinc++ -L/usr/lib >=20 > and. . . >=20 > "CROSS" (XCC/XCXX): >> TO_TYPE=3Dpowerpc64 >> TOOLS_TO_TYPE=3D${TO_TYPE} >> . . . >> VERSION_CONTEXT=3D11.0 >> . . . >> = XCC=3D/usr/local/bin/${TOOLS_TO_TYPE}-portbld-freebsd${VERSION_CONTEXT}-gc= c >> = XCXX=3D/usr/local/bin/${TOOLS_TO_TYPE}-portbld-freebsd${VERSION_CONTEXT}-g= ++ >=20 > In other words: CROSS use is already handled for /usr/local/. . . just = given the compiler paths but some special src.conf adjustments beyond = compiler paths were needed for HOST. >=20 > So far it appears that gcc49 materials can be used in "CROSS" and/or = powerpc64-gcc materials can be used in "HOST" via just appropriate = compiler-path editing. (I have jumped to testing -r297514 but am still = doing various build tests. So this aspect is subject to updates.) It = appears to be possible to use just one compiler/tool family --but in the = 2 different ways-- instead of using a mix of 2 compiler/tool families. >=20 > Historically I've not gotten gcc variants to make a working lib32 for = powerpc64 and I've yet to retest this: So no claims about the lib32 = status are implied here. (The problem was code in crtbeginS that = arbitrarily used R30 in a way that the context was not set up for and so = crtbeginS code was dereferencing arbitrary addresses.) I probably knew this someplace in the back of my head but gcc49 does not = handle -fformat-extensions (quoting the script log): > --- accf_data.o --- > env /usr/local/bin/gcc49 -isystem = /usr/obj/xtoolchain/powerpc.powerpc64/usr/src/tmp/usr/include = -L/usr/obj/xtoolchain/powerpc.powerpc64/usr/src/tmp/usr/lib = --sysroot=3D/usr/obj/xtoolchain/powerpc.powerp > c64/usr/src/tmp -B/usr/local/powerpc64-portbld-freebsd11.0/bin/ -O2 = -pipe -fno-strict-aliasing -Werror -D_KERNEL -DKLD_MODULE -nostdinc = -DHAVE_KERNEL_OPTION_HEADERS -include = /usr/obj/xtoolchain/powerpc.powerpc64/usr/src/sys/GENERIC64vtsc-NODEBUG/op= t_global.h -I. -I/usr/src/sys -fno-common -g -mlongcall = -fno-omit-frame-pointer = -I/usr/obj/xtoolchain/powerpc.powerpc64/usr/src/sys/GENERIC64vtsc-NODEBUG = -MD -MF.depend.accf_data.o -MTaccf_data.o -mno-altivec -ffreestanding = -fwrapv -fstack-protector -gdwarf-2 -Wall -Wredundant-decls = -Wnested-externs -Wstrict-prototypes -Wmissing-prototypes = -Wpointer-arith -Winline -Wcast-qual -Wundef -Wno-pointer-sign = -fformat-extensions -Wmissing-include-dirs -fdiagnostics-show-option = -Wno-unknown-pragmas -Wno-error=3Dinline -Wno-error=3Denum-compare = -Wno-error=3Dunused-but-set-variable = -Wno-error=3Daggressive-loop-optimizations = -Wno-error=3Dmaybe-uninitialized -Wno-error=3Darray-bounds = -Wno-error=3Daddress -Wno-error=3Dcast-qual -Wno-error=3Dsequence-point = -Wno-error=3Dattributes -Wno-error=3Dstrict-overflow = -Wno-error=3Doverflow -v -finline-limit=3D15000 -fms-extensions --param = inline-unit-growth=3D100 --param large-function-growth=3D1000 = -msoft-float -mcall-aixdesc -std=3Diso9899:1999 -c = /usr/src/sys/modules/accf_data/../../netinet/accf_data.c -o accf_data.o > Using built-in specs. > COLLECT_GCC=3D/usr/local/bin/gcc49 > gcc49: error: unrecognized command line option '-fformat-extensions' > Target: powerpc64-portbld-freebsd11.0 > Configured with: ./../gcc-4.9-20160210/configure --disable-multilib = --disable-bootstrap --disable-nls --enable-gnu-indirect-function = --libdir=3D/usr/local/lib/gcc49 --libexecdir=3D/usr/local/libexec/gcc49 = --program-suffix=3D49 --with-as=3D/usr/local/bin/as = --with-gmp=3D/usr/local = --with-gxx-include-dir=3D/usr/local/lib/gcc49/include/c++/ = --with-ld=3D/usr/local/bin/ld --with-pkgversion=3D'FreeBSD Ports = Collection' --with-system-zlib --disable-libgcj = --enable-languages=3Dc,c++,objc,fortran --prefix=3D/usr/local = --localstatedir=3D/var --mandir=3D/usr/local/man = --infodir=3D/usr/local/info/gcc49 --build=3Dpowerpc64-portbld-freebsd11.0 > Thread model: posix > gcc version 4.9.4 20160210 (prerelease) (FreeBSD Ports Collection)=20 > *** [accf_data.o] Error code 1 So my > it appears that gcc49 materials can be used in "CROSS" is just false for gcc49, gcc5, and the like. I had hoped such would work with TARGET_ARCH=3Dpowerpc because there is = no powerpc-gcc port predefined and clang 3.8.0 is still insufficient for = this context. =3D=3D=3D Mark Millard markmi at dsl-only.net On 2016-Apr-1, at 4:35 PM, Mark Millard wrote: >=20 > [Just a top-post showing what powerpc64-xtoolchain-gcc/powerpc64-gcc = has for the default include search places:] >=20 > powerpc64-xtoolchain-gcc/powerpc64-gcc also looks in = /usr/local/include before /usr/include : see below. >=20 >> # portmaster --list-origins >> . . . >> devel/powerpc64-xtoolchain-gcc >> . . . >>=20 >> # /usr/local/bin/powerpc64-portbld-freebsd11.0-gcc --version >> powerpc64-portbld-freebsd11.0-gcc (FreeBSD Ports Collection for = powerpc64) 5.3.0 >> Copyright (C) 2015 Free Software Foundation, Inc. >> This is free software; see the source for copying conditions. There = is NO >> warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR = PURPOSE. >>=20 >> # echo '' |/usr/local/bin/powerpc64-portbld-freebsd11.0-gcc -v -x c++ = - -o /dev/null >> . . . >> ignoring nonexistent directory = "/usr/local/lib/gcc/powerpc64-portbld-freebsd11.0/5.3.0/../../../../includ= e/c++/5.3.0" >> ignoring nonexistent directory = "/usr/local/lib/gcc/powerpc64-portbld-freebsd11.0/5.3.0/../../../../includ= e/c++/5.3.0/powerpc64-portbld-freebsd11.0" >> ignoring nonexistent directory = "/usr/local/lib/gcc/powerpc64-portbld-freebsd11.0/5.3.0/../../../../includ= e/c++/5.3.0/backward" >> ignoring nonexistent directory = "/usr/local/lib/gcc/powerpc64-portbld-freebsd11.0/5.3.0/../../../../powerp= c64-portbld-freebsd11.0/include" >> #include "..." search starts here: >> #include <...> search starts here: >> /usr/local/lib/gcc/powerpc64-portbld-freebsd11.0/5.3.0/include >> /usr/local/include >> /usr/local/lib/gcc/powerpc64-portbld-freebsd11.0/5.3.0/include-fixed >> /usr/include >> End of search list. >> . . . >=20 >=20 > =3D=3D=3D > Mark Millard > markmi at dsl-only.net > On 2016-Apr-1, at 7:25 AM, Warner Losh wrote: >=20 >=20 >=20 > On Fri, Apr 1, 2016 at 2:25 AM, Dimitry Andric = wrote: > On 01 Apr 2016, at 00:44, Warner Losh wrote: >>=20 >>> On Mar 31, 2016, at 4:34 PM, Bryan Drewery = wrote: >>> I didn't realize the ports compiler was defaulting = /usr/local/include >>> into the search path now. It does not have /usr/local/lib in the >>> default library path as far as I can tell. It's also broken for its >>> -rpath (noted in its pkg-message). So having a default >>> /usr/local/include path seems odd. >>=20 >> It has for a while now. It=E2=80=99s one of the maddening = inconsistencies that abound in this >> area. I took a poll a while ago and there seemed to be widespread = support for adding >> it to the base compiler. >=20 > This was the main reason /usr/local/include was *not* included in the > base compiler, otherwise it would unpredictably pick up headers in > /usr/local/include during builds. You can never know which = conflicting > headers a certain user has installed in /usr/local/include... :) >=20 > That's why it shouldn't be *FIRST*, not why it shouldn't be there > at all. >=20 >>> Adding -isystem /usr/include to fix this is probably possible but >>> there's a risk someone will remove it as redundant. In this case I = wish >>> /usr/include was first but I'm not sure what impact that would have = on >>> consumers expecting /usr/local/include (and /usr/local/lib) = overrides to >>> work, though they would need to pass a -L /usr/local/lib anyhow and >>> would likely be passing -I /usr/local/lib too. >>=20 >> /usr/include should be first. But it isn=E2=80=99t. That=E2=80=99s = another inconsistency that was found >> when we looked at /usr/local stuff. Someone recently added = /usr/local/bin to the path, >> if I recall correctly. >=20 > Isn't that a bit of a bikeshed? I guess some people would just as = well > prefer /usr/local/include to be first, just like some people prefer > /usr/local/bin before /usr/bin in their PATH. >=20 > Sigh. No. /usr/local is moving into many different things in the base = and ports. We should > do it in a consistent way. What we have now is not consistent and = somewhat brittle. >=20 > In any case, if such paths are added to external compilers, we better > make sure almost everything in buildworld uses -nostdinc, and = specifying > exactly the include directories we need, and no others. Cumbersome, = but > maybe for a good cause. >=20 > That's the non-brittle solution here. An over-reliance on defaults = makes it > difficult to ensure other compilers will work, especially ones we = don't > tightly control the defaults for. >=20 > Warner From owner-freebsd-ppc@freebsd.org Mon Apr 4 07:57:48 2016 Return-Path: Delivered-To: freebsd-ppc@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id 6644FB01ACC for ; Mon, 4 Apr 2016 07:57:48 +0000 (UTC) (envelope-from bugzilla-noreply@freebsd.org) Received: from kenobi.freebsd.org (kenobi.freebsd.org [IPv6:2001:1900:2254:206a::16:76]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (Client did not present a certificate) by mx1.freebsd.org (Postfix) with ESMTPS id 570D119A2 for ; Mon, 4 Apr 2016 07:57:48 +0000 (UTC) (envelope-from bugzilla-noreply@freebsd.org) Received: from bugs.freebsd.org ([127.0.1.118]) by kenobi.freebsd.org (8.15.2/8.15.2) with ESMTP id u347vmR2043505 for ; Mon, 4 Apr 2016 07:57:48 GMT (envelope-from bugzilla-noreply@freebsd.org) From: bugzilla-noreply@freebsd.org To: freebsd-ppc@FreeBSD.org Subject: [Bug 207599] kernel built with clang fails to boot on ppc64 qemu Date: Mon, 04 Apr 2016 07:57:48 +0000 X-Bugzilla-Reason: AssignedTo X-Bugzilla-Type: changed X-Bugzilla-Watch-Reason: None X-Bugzilla-Product: Base System X-Bugzilla-Component: kern X-Bugzilla-Version: 11.0-CURRENT X-Bugzilla-Keywords: patch X-Bugzilla-Severity: Affects Only Me X-Bugzilla-Who: linimon@FreeBSD.org X-Bugzilla-Status: New X-Bugzilla-Resolution: X-Bugzilla-Priority: --- X-Bugzilla-Assigned-To: freebsd-ppc@FreeBSD.org X-Bugzilla-Flags: X-Bugzilla-Changed-Fields: assigned_to keywords Message-ID: In-Reply-To: References: Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable X-Bugzilla-URL: https://bugs.freebsd.org/bugzilla/ Auto-Submitted: auto-generated MIME-Version: 1.0 X-BeenThere: freebsd-ppc@freebsd.org X-Mailman-Version: 2.1.21 Precedence: list List-Id: Porting FreeBSD to the PowerPC List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 04 Apr 2016 07:57:48 -0000 https://bugs.freebsd.org/bugzilla/show_bug.cgi?id=3D207599 Mark Linimon changed: What |Removed |Added ---------------------------------------------------------------------------- Assignee|freebsd-bugs@FreeBSD.org |freebsd-ppc@FreeBSD.org Keywords| |patch --=20 You are receiving this mail because: You are the assignee for the bug.= From owner-freebsd-ppc@freebsd.org Mon Apr 4 07:58:11 2016 Return-Path: Delivered-To: freebsd-ppc@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id AC6F5B01B1A for ; Mon, 4 Apr 2016 07:58:11 +0000 (UTC) (envelope-from bugzilla-noreply@freebsd.org) Received: from kenobi.freebsd.org (kenobi.freebsd.org [IPv6:2001:1900:2254:206a::16:76]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (Client did not present a certificate) by mx1.freebsd.org (Postfix) with ESMTPS id 9D2211A20 for ; Mon, 4 Apr 2016 07:58:11 +0000 (UTC) (envelope-from bugzilla-noreply@freebsd.org) Received: from bugs.freebsd.org ([127.0.1.118]) by kenobi.freebsd.org (8.15.2/8.15.2) with ESMTP id u347wBpr044019 for ; Mon, 4 Apr 2016 07:58:11 GMT (envelope-from bugzilla-noreply@freebsd.org) From: bugzilla-noreply@freebsd.org To: freebsd-ppc@FreeBSD.org Subject: [Bug 207599] fixes for kernel built with clang failing to boot on ppc64 qemu Date: Mon, 04 Apr 2016 07:58:11 +0000 X-Bugzilla-Reason: AssignedTo X-Bugzilla-Type: changed X-Bugzilla-Watch-Reason: None X-Bugzilla-Product: Base System X-Bugzilla-Component: kern X-Bugzilla-Version: 11.0-CURRENT X-Bugzilla-Keywords: patch X-Bugzilla-Severity: Affects Only Me X-Bugzilla-Who: linimon@FreeBSD.org X-Bugzilla-Status: New X-Bugzilla-Resolution: X-Bugzilla-Priority: --- X-Bugzilla-Assigned-To: freebsd-ppc@FreeBSD.org X-Bugzilla-Flags: X-Bugzilla-Changed-Fields: short_desc Message-ID: In-Reply-To: References: Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable X-Bugzilla-URL: https://bugs.freebsd.org/bugzilla/ Auto-Submitted: auto-generated MIME-Version: 1.0 X-BeenThere: freebsd-ppc@freebsd.org X-Mailman-Version: 2.1.21 Precedence: list List-Id: Porting FreeBSD to the PowerPC List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 04 Apr 2016 07:58:11 -0000 https://bugs.freebsd.org/bugzilla/show_bug.cgi?id=3D207599 Mark Linimon changed: What |Removed |Added ---------------------------------------------------------------------------- Summary|kernel built with clang |fixes for kernel built with |fails to boot on ppc64 qemu |clang failing to boot on | |ppc64 qemu --=20 You are receiving this mail because: You are the assignee for the bug.= From owner-freebsd-ppc@freebsd.org Mon Apr 4 16:38:12 2016 Return-Path: Delivered-To: freebsd-ppc@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id 6F695B02A03 for ; Mon, 4 Apr 2016 16:38:12 +0000 (UTC) (envelope-from andy.silva@snscommunication.com) Received: from mailer238.gate85.rs.smtp.com (mailer238.gate85.rs.smtp.com [74.91.85.238]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (Client did not present a certificate) by mx1.freebsd.org (Postfix) with ESMTPS id 1069617F8 for ; Mon, 4 Apr 2016 16:38:11 +0000 (UTC) (envelope-from andy.silva@snscommunication.com) X-MSFBL: eyJiIjoiNzRfOTFfODVfMjM4IiwiciI6ImZyZWVic2QtcHBjQGZyZWVic2Qub3Jn IiwiZyI6IlNuc3RlbGVjb21fZGVkaWNhdGVkX3Bvb2wifQ== Received: from [192.168.80.41] ([192.168.80.41:41918] helo=rs-ord-mta04-1.smtp.com) by rs-ord-mta04-3.smtp.com (envelope-from ) (ecelerity 4.1.0.46749 r(Core:4.1.0.4)) with ESMTP id 96/45-30445-B6892075; Mon, 04 Apr 2016 16:38:03 +0000 DKIM-Signature: v=1; a=rsa-sha256; d=smtp.com; s=smtpcomcustomers; c=relaxed/simple; q=dns/txt; i=@smtp.com; t=1459787883; h=From:Subject:To:Date:MIME-Version:Content-Type; bh=XxGCn4mVS10r0VNh3DZlgUbr2kXJHZs7G8GEaz9Ffco=; b=XFtuUbdc7Viw6bRc3SaBikP+lHzakFOYDdGVwQi8+zsq7X6ZuacdzBp61gqCM488 KBZtLZsv+iBQiJ+DQtbWMQF6bRA6Q1CErLUVimVyBPIBuJbkdX8JUlJ6L5Za04ta 0pOM6PqLsCygWxh/iPJSYQm7tsfjj621vnB0Pdof+Dc=; Received: from [205.250.224.245] ([205.250.224.245:37221] helo=d205-250-224-245.bchsia.telus.net) by rs-ord-mta04-1.smtp.com (envelope-from ) (ecelerity 4.1.0.46749 r(Core:4.1.0.4)) with ESMTPA id 25/C5-27458-A6892075; Mon, 04 Apr 2016 16:38:03 +0000 MIME-Version: 1.0 From: "Andy Silva" Reply-To: andy.silva@snscommunication.com To: freebsd-ppc@freebsd.org Subject: The Wireless Network Infrastructure Ecosystem: 2016 - 2030 - Macrocell RAN, Small Cells, C-RAN, RRH, DAS, Carrier Wi-Fi, Mobile Core, Backhaul & Fronthaul (Report) X-Mailer: Smart_Send_2_0_138 Date: Mon, 4 Apr 2016 09:37:58 -0700 Message-ID: <89524247238722846825655@Ankur> X-SMTPCOM-Spam-Policy: SMTP.com is a paid relay service. We do not tolerate UCE of any kind. Please report it ASAP to abuse@smtp.com X-SMTPCOM-Tracking-Number: 782ba863-fcba-4d7b-87bd-9204b2b234e0 X-SMTPCOM-Sender-ID: 6008902 Feedback-ID: 6008902:SMTPCOM Content-Type: text/plain; charset="windows-1252" Content-Transfer-Encoding: quoted-printable X-Content-Filtered-By: Mailman/MimeDel 2.1.21 X-BeenThere: freebsd-ppc@freebsd.org X-Mailman-Version: 2.1.21 Precedence: list List-Id: Porting FreeBSD to the PowerPC List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 04 Apr 2016 16:38:12 -0000 The Wireless Network Infrastructure Ecosystem: 2016 =96 2030 =96 Macrocell = RAN, Small Cells, C-RAN, RRH, DAS, Carrier Wi-Fi, Mobile Core, Backhaul & F= ronthaul (Report) =20 Hello=20 Let me offer you the latest SNS Research report to you and your team, " The= Wireless Network Infrastructure Ecosystem: 2016 - 2030 - Macrocell RAN, Sm= all Cells, C-RAN, RRH, DAS, Carrier Wi-Fi, Mobile Core, Backhaul & Fronthau= l " Below is the report highlight and if you like I can send you sample pag= es for your details inside. =20 Our reports are compiled with primary and secondary informations to produce= an overall industry outlook. =20 Key Questions Answered: =20 The report provides answers to the following key questions: How big is the 2G, 3G, 4G and 5G wireless network infrastructure opportunit= y=3F What trends, challenges and barriers are influencing its growth=3F How is the ecosystem evolving by segment and region=3F Which submarkets will see the highest percentage of growth=3F What will the market size be in 2020 and at what rate will it grow=3F How will the market shape for small cell, C-RAN, carrier Wi-Fi and DAS depl= oyments=3F How much service revenue will be generated by mobile operator networks=3F=20 When will 2G and 3G infrastructure spending diminish=3F What is the outlook for LTE and 5G infrastructure investments=3F What are the future prospects of millimeter wave technology for backhaul, f= ronthaul and RAN deployments=3F Who are the key vendors in the market, what is their market share and what = are their strategies=3F What strategies should wireless network infrastructure vendors and mobile o= perators adopt to remain competitive=3F Report Information: Release Date: March 2016 Number of Pages: 612 Number of Tables and Figures: 347 =20 Report Overview: The term =93Wireless Network Infrastructure=94 has conventionally been asso= ciated with macrocell RAN (Radio Access Network) and mobile core segments o= f mobile operator networks. However, the scope of the term is expanding as = mobile operators increase their investments in Heterogeneous Network or Het= Net infrastructure such as small cells, carrier Wi-Fi and DAS (Distributed = Antenna Systems), to cope with increasing capacity and coverage requirement= s. In addition, mobile operators are keen to shift towards a C-RAN (Centralize= d RAN) architecture, which centralizes baseband functionality to be shared = across a large number of distributed radio nodes. In comparison to standalo= ne clusters of base stations, C-RAN provides significant performance and ec= onomic benefits such as baseband pooling, enhanced coordination between cel= ls, virtualization, network extensibility and energy efficiency. Due to a decline in macrocell RAN infrastructure spending, SNS Research est= imates that the wireless network infrastructure market will remain relative= ly flat through 2020, with annual investments of over $61 Billion. We also = expect a significant shift in investments towards small cells, C-RAN, DAS a= nd carrier Wi-Fi infrastructure. By 2020, these four submarkets, together w= ith their fronthaul and backhaul segments, will account for over 50% of all= wireless network infrastructure spending. The =93Wireless Network Infrastructure Ecosystem: 2016 =96 2030 =96 Macroce= ll RAN, Small Cells, C-RAN, RRH, DAS, Carrier Wi-Fi, Mobile Core, Backhaul = & Fronthaul=94 report presents an in-depth assessment of the wireless netwo= rk infrastructure ecosystem including enabling technologies, key trends, ma= rket drivers, challenges, investment trends, mobile operator revenue potent= ial, regional CapEx commitments, network rollout strategies, future roadmap= , value chain, ecosystem player profiles and vendor market share. The repor= t also presents forecasts for wireless network infrastructure investments f= rom 2016 till 2030. The forecasts cover 9 individual submarkets and 6 regio= ns. The report comes with an associated Excel datasheet suite covering quantita= tive data from all numeric forecasts presented in the report. Key Findings: =20 The report has the following key findings: Due to a decline in macrocell RAN infrastructure spending, SNS Research est= imates that the wireless network infrastructure market will remain relative= ly flat through 2020, with annual investments of over $61 Billion. SNS Research expects a significant shift in investments towards small cells= , C-RAN, DAS and carrier Wi-Fi infrastructure. By 2020, these four submarke= ts, together with their fronthaul and backhaul segments, will account for o= ver 50% of all wireless network infrastructure spending. Small cell and C-RAN solutions are beginning to converge as small cell OEMs= seek to capitalize on the benefits of centralized coordination for in-buil= ding and enterprise coverage. Driven by ongoing large scale deployments, we estimate that LTE networks wi= ll generate nearly $800 Billion in annual service revenue by 2020. Vendors are increasing their focus on profit margins. Many are already cutt= ing staff, embracing operational excellence, evolving their new business mo= dels, acquiring niche businesses and expanding their managed services offer= ings. New CapEx commitment avenues such as HetNet infrastructure and virtualizati= on will continue to usher industry restructuring, and market consolidation. Topics Covered: =20 The report covers the following topics: Up-to-date coverage of market dynamics allowing wireless network infrastruc= ture vendors to analyze opportunities and challenges of selling to mobile o= perators in different regional markets Analysis of demand and supply of wireless network infrastructure including = forecasts of investment trends, technology requirements and deployment stra= tegies for antenna, RAN, mobile core, backhaul and fronthaul deployments Review of mobile operator CapEx commitments, subscriptions, traffic project= ions and service revenue, by technology and region Market outlook for key technologies including TD-LTE, LTE-Advanced, VoLTE, = RCS, LTE broadcast, unlicensed LTE small cells and 5G Industry roadmap and value chain Profiles and strategies of over 350 ecosystem players including wireless ne= twork infrastructure vendors and enabling technology providers Vendor market share for macrocell RAN, small cells, C-RAN, DAS, carrier Wi-= Fi, mobile core, backhaul and fronthaul Forecast Segmentation: =20 Market forecasts are provided for each of the following submarkets and thei= r subcategories: Macrocell RAN Air Interface Technology Segmentation 2G & 3G LTE FDD TD-LTE WiMAX Mobile Core Technology Segmentation 3G Packet Core HLR (Home Location Register) MSS (Mobile Switching Subsystem) LTE EPC (Evolved Packet Core) WiMAX Mobile Core 5G Mobile Core Macrocell Backhaul Technology Segmentation Ethernet Microwave & Millimeter Wave Satellite WDM (Wavelength Division Multiplexing) PON (Passive Optical Network) Others Small Cells Air Interface Technology Segmentation 2G & 3G LTE 5G Deployment Model Segmentation Indoor Outdoor Use Case Segmentation Residential Enterprise Urban Rural & Suburban Cell Size Segmentation Femtocells Picocells Microcells Small Cell Backhaul Technology Segmentation DSL Ethernet Microwave Millimeter Wave Satellite Fiber & Others Carrier Wi-Fi Submarket Segmentation Access Points Access Point Controllers Integration Approach Segmentation Standalone Wi-Fi Hotspots Managed Wi-Fi Offload C-RAN Air Interface Technology Segmentation 3G & LTE 5G Deployment Model Segmentation Indoor Outdoor Submarket Segmentation BBUs (Baseband Units) RRHs (Remote Radio Heads) C-RAN Fronthaul Technology Segmentation Dedicated Fiber WDM OTN (Optical Transport Network) PON Ethernet Microwave Millimeter Wave DAS Deployment Model Segmentation Indoor Outdoor Regional Markets Asia Pacific Eastern Europe Latin & Central America Middle East & Africa North America Western Europe Report Pricing: =20 Single User License: USD 2,500 Company Wide License: USD 3,500 Ordering Process: Please contact Andy Silva on andy.silva@snscommunication.com Provide the following information: 1. Report Title - 2. Report License - (Single User/Company Wide) 3. Name - 4. Email - 5. Job Title - 6. Company - 7. Invoice Address - Please contact me if you have any questions, or wish to purchase a copy. Ta= ble of contents and List of figures mentioned below for your better inside. I look forward to hearing from you. Kind Regards =20 Andy Silva Marketing Executive Signals and Systems Telecom andy.silva@snscommunication.com =20 __________________________________________________________________________= ___________ =20 Table of contents =20 1.1 Executive Summary 1.2 Topics Covered 1.3 Forecast Segmentation 1.4 Key Questions Answered 1.5 Key Findings 1.6 Methodology 1.7 Target Audience 1.8 Companies & Organizations Mentioned Chapter 2: An Overview of Wireless Network Infrastructure 2.1 What is Wireless Network Infrastructure=3F 2.2 2G: GSM & CDMA 2.2.1 2G Trends & Developments 2.2.2 2G Market Summary 2.3 3G: W-CDMA, TD-SCDMA & CDMA2000 2.3.1 3G Trends & Developments 2.3.2 3G Market Summary 2.4 4G: LTE, LTE-Advanced & WiMAX 2.4.1 4G Trends & Developments 2.4.2 4G Market Summary 2.5 5G: IMT-2020 Technologies 2.5.1 5G Trends & Developments 2.5.2 5G Market Summary 2.6 Macrocell RAN 2.6.1 Macrocell RAN Trends & Developments 2.7 HetNet RAN 2.7.1 HetNet RAN Trends & Developments 2.7.2 Small Cells 2.7.3 C-RAN 2.7.4 DAS 2.7.5 Carrier Wi-Fi 2.8 Mobile Core 2.8.1 Mobile Core Trends & Developments 2.9 Mobile Backhaul & Fronthaul 2.9.1 Mobile Backhaul & Fronthaul Trends & Developments =20 Chapter 3: Market Drivers, Barriers & Risks 3.1 Market Drivers 3.1.1 Mobile Subscriptions Growth 3.1.2 Smartphone & Tablet Proliferation 3.1.3 Growing Penetration of Mobile Broadband 3.1.4 Mobile Data Traffic Growth 3.1.5 Interest from Vertical Markets 3.1.6 Reducing the TCO (Total Cost of Ownership) 3.1.7 Replacement of Legacy Infrastructure: Continued Growth in Transport= Networking 3.1.8 Advances in Spectrum Flexibility & Carrier Aggregation: Driving Het= Net Deployments 3.1.9 Strategic Choice for CDMA & WiMAX Operators: Join Mainstream Ecosys= tem 3.1.10 Addressing Legacy Network Congestion 3.1.11 Bringing Broadband to the Masses 3.1.12 Trend Summary: Which Segments of the Wireless Infrastructure Marke= t Will Witness Growth=3F 3.2 Barriers & Risks 3.2.1 CapEx Commitments 3.2.2 Spectrum Scarcity 3.2.3 RAN Sharing: A Concept Embraced by Mobile Operators 3.2.4 Operators Are Finding Innovative Ways to Address Capacity Issues 3.2.5 Social, Political, Economic and Environmental Threats 3.2.6 Country Specific Risks 3.3 Key Strategic Options for Mobile Operators 3.4 Business Case for Investments in New and Existing Technologies 3.4.1 Gain Operational Efficiencies Through Strategic Investments 3.4.2 Invest in Capacity for Increased Revenue Opportunities 3.4.3 Deliver Best User Experience 3.4.4 Reduce Competitive Threats 3.4.5 Reserve Network Capacity the M2M Opportunities 3.4.6 Increase Customer Satisfaction 3.4.7 Capitalize on Differentiation Strategies 3.4.8 Evolve Towards the Next Generation =20 Chapter 4: Mobile Network CapEx Review 4.1 Global Mobile Network CapEx 4.2 Regional Split 4.3 Key Operator Commitments 4.3.1 China Mobile 4.3.2 China Unicom 4.3.3 AT&T Mobility 4.3.4 Vodafone Group 4.3.5 Verizon Wireless 4.3.6 China Telecom 4.3.7 NTT DoCoMo 4.3.8 Sprint Corporation 4.3.9 SoftBank Corporation 4.3.10 T-Mobile USA 4.3.11 KDDI 4.3.12 DT (Deutsche Telekom) 4.3.13 MTS (Mobile TeleSystems) 4.3.14 Orange 4.3.15 Telenor Group 4.3.16 SK Telecom 4.3.17 Vivo 4.3.18 TIM Brazil 4.3.19 LG Uplus 4.3.20 Telkomsel 4.3.21 Megafon 4.3.22 Bharti Airtel 4.3.23 Movistar Venezuela 4.3.24 TIM (Telecom Italia Mobile) 4.3.25 Vimpelcom 4.4 Asia Pacific Mobile Network CapEx 4.5 Eastern Europe Mobile Network CapEx 4.6 Latin & Central America Mobile Network CapEx 4.7 Middle East & Africa Mobile Network CapEx 4.8 North America Mobile Network CapEx 4.9 Western Europe Mobile Network CapEx =20 Chapter 5: Mobile Network Subscriptions & Service Revenue Review 5.1 Global Mobile Network Subscriptions 5.2 Global Mobile Network Service Revenue 5.3 Segmentation by Technology 5.3.1 2G & 3G 5.3.2 FDD LTE 5.3.3 TD-LTE 5.3.4 WiMAX 5.3.5 5G 5.4 Regional Split 5.5 Asia Pacific 5.6 Eastern Europe 5.7 Latin & Central America 5.8 Middle East & Africa 5.9 North America 5.10 Western Europe =20 Chapter 6: Wireless Network Deployment Strategies 6.1 Antenna & RAN Strategies 6.1.1 Single RAN vs. Overlay Deployment 6.1.2 Adopting an RRH and FTTA Design 6.1.3 Migrating Towards C-RAN Architecture 6.1.4 Optimal Antenna Selection 6.1.5 Interference Limitation Strategies 6.1.6 Managing Co-Existence with Legacy 2G/3G RF Sites 6.2 Mobile Core Strategies 6.2.1 Integration of Functions & Virtualization 6.2.2 Deployment Architecture Choices 6.2.3 Supporting Legacy Networks 6.2.4 Integration with IMS 6.2.5 Embedding DPI for Policy Enforcement & Network Optimization 6.3 Backhaul & Fronthaul Strategies 6.3.1 Architectural Impact of X2 Interface 6.3.2 LTE-Advanced Requirements 6.3.3 Growing Backhaul Capacity & Latency Requirements 6.3.4 IPsec 6.3.5 Technology Options: Fiber, Microwave & Millimeter Wave 6.3.6 Developing a HetNet Backhaul Strategy 6.3.7 Synchronization and Timing 6.3.8 Transport Network Sharing 6.3.9 Fronthaul Options: Alternatives to Dedicated Fiber =20 Chapter 7: Industry Roadmap & Value Chain 7.1 Industry Roadmap 7.1.1 2016 - 2020: Large Scale LTE & HetNet Infrastructure Rollouts 7.1.2 2020 - 2025: The Cloud RAN Era - Moving Towards C-RAN and Virtualiz= ation 7.1.3 2025 - 2030: Continued Investments with 5G Network Rollouts 7.2 Value Chain 7.3 Embedded Technology Ecosystem 7.3.1 Chipset Developers 7.3.2 Embedded Component/Software Providers 7.4 RAN Ecosystem 7.4.1 Macrocell RAN OEMs 7.4.2 Pure-Play Small Cell OEMs 7.4.3 Wi-Fi Access Point OEMs 7.4.4 DAS & Repeater Solution Providers 7.4.5 C-RAN Solution Providers 7.4.6 Other Technology Providers 7.5 Transport Networking Ecosystem 7.5.1 Backhaul & Fronthaul Solution Providers 7.6 Mobile Core Ecosystem 7.6.1 Mobile Core Solution Providers 7.7 Connectivity Ecosystem 7.7.1 Mobile Operators 7.7.2 Wi-Fi Connectivity Providers 7.7.3 SCaaS (Small Cells as a Service) Providers 7.8 SON Ecosystem 7.8.1 SON Solution Providers 7.9 SDN & NFV Ecosystem 7.9.1 SDN & NFV Providers =20 Chapter 8: Vendor Landscape 8.1 Vendor Outlook 8.1.1 Pricing & Growth Sustainability 8.1.2 Portfolio Diversification 8.2 Vendor Ranking 8.2.1 Macrocell RAN 8.2.2 Mobile Core 8.2.3 Small Cells 8.2.4 Carrier Wi-Fi 8.2.5 C-RAN 8.2.6 DAS 8.2.7 Backhaul & Fronthaul =20 Chapter 9: Wireless Network Infrastructure Incumbents 9.1 Cisco Systems 9.2 Ericsson 9.3 Fujitsu 9.4 Hitachi 9.5 Huawei 9.6 NEC Corporation 9.7 Nokia Networks & Alcatel-Lucent 9.8 Samsung Electronics 9.9 ZTE =20 Chapter 10: Macrocell RAN, Small Cell, C-RAN & Mobile Core Specialists 10.1 Accelleran 10.2 Adax 10.3 ADB 10.4 Affirmed Networks 10.5 Airspan Networks 10.6 Alpha Networks 10.7 Altiostar Networks 10.8 Arcadyan Technology Corporation 10.9 Argela 10.10 ARItel 10.11 Artemis Networks 10.12 Askey Computer Corporation 10.13 ASOCS 10.14 Athonet 10.15 Athena Wireless Communications (Google) 10.16 Axxcelera Broadband Wireless (Moseley Associates) 10.17 Brocade Communications Systems 10.18 Casa Systems 10.19 CCI (Competitive Companies, Inc.) 10.20 Contela 10.21 CS Corporation 10.22 Datang Mobile 10.23 Dongwon T&I 10.24 Femtel (Suzhou Femtel Communications) 10.25 Gemtek Technology Company 10.26 GENBAND 10.27 GWT (Global Wireless Technologies) 10.28 HP (Hewlett-Packard) 10.29 ip.access 10.30 Juni Global 10.31 Juniper Networks 10.32 Lemko 10.33 LGS Innovations 10.34 Mitel Networks Corporation 10.35 New Postcom Equipment Company 10.36 NewNet Communication Technologies 10.37 Nutaq 10.38 Oceus Networks 10.39 Panda Electronics (Nanjing Panda Electronics Company) 10.40 Parallel Wireless 10.41 Polaris Networks 10.42 Potevio (China Potevio Company) 10.43 Quanta Computer 10.44 Qucell 10.45 Quortus 10.46 Redline Communications 10.47 Sagemcom 10.48 Samji Electronics Company 10.49 SerComm Corporation 10.50 SK Telesys 10.51 SpiderCloud Wireless 10.52 Star Solutions 10.53 Sunnada (Fujian Sunnada Communication Company) 10.54 Taqua 10.55 Tecom 10.56 TEKTELIC Communications 10.57 Telum 10.58 Telrad Networks 10.59 WNC (Wistron NeWeb Corporation) 10.60 Z-Com (ZDC Wireless) =20 Chapter 11: Antenna, DAS & Repeater Solution Specialists 11.1 AceAxis 11.2 ADRF (Advanced RF Technologies) 11.3 Affarii Technologies 11.4 American Tower Corporation 11.5 Arqiva 11.6 Axis Teknologies 11.7 Black Box Corporation 11.8 BTI Wireless 11.9 CCI (Communication Components Inc.) 11.10 CCI (Crown Castle International) 11.11 CCI Systems 11.12 Cobham Wireless 11.13 Comba Telecom Systems Holdings 11.14 CommScope 11.15 Corning 11.16 Dali Wireless 11.17 DeltaNode (Bird Technologies) 11.18 Ethertronics 11.19 ExteNet Systems 11.20 Foxcom 11.21 Galtronics 11.22 Goodman Networks 11.23 GrenTech (China GrenTech Corporation) 11.24 JRC (Japan Radio Company) 11.25 JMA Wireless 11.26 Kisan Telecom 11.27 KMW 11.28 Kathrein-Werke KG 11.29 MER-CellO Wireless Solutions 11.30 Microlab (Wireless Telecom Group) 11.31 MTI Mobile 11.32 Nexius 11.33 Nextivity 11.34 RF Window 11.35 RFS (Radio Frequency Systems) 11.36 Rosenberger 11.37 SOLiD (SOLiD Technologies) 11.38 Sumitomo Electric Industries 11.39 Sunwave Communications 11.40 TESSCO Technologies 11.41 Westell Technologies 11.42 Zinwave =20 Chapter 12: Carrier Wi-Fi Specialists 12.1 4ipnet 12.2 ABB 12.3 Accuris Networks 12.4 Aerohive Networks 12.5 Alvarion Technologies 12.6 Aptilo Networks 12.7 Aruba Networks 12.8 Autelan 12.9 BandwidthX 12.10 Birdstep Technology 12.11 Browan Communications 12.12 BSG Wireless 12.13 D-Link Corporation 12.14 Edgewater Wireless Systems 12.15 EION Wireless 12.16 Firetide 12.17 Fortinet 12.18 Front Porch 12.19 GoNet Systems 12.20 Handlink Technologies 12.21 Meru Networks 12.22 Netgem 12.23 NETGEAR 12.24 Nomadix 12.25 Panasonic Corporation 12.26 Ro-Timak Technology 12.27 Ruckus Wireless 12.28 Senao Networks 12.29 Smith Micro Software 12.30 SpectrumMax 12.31 Syniverse Technologies 12.32 TP-LINK Technologies 12.33 Tranzeo Wireless Technologies 12.34 Ubiquiti Networks 12.35 WeFi 12.36 Zebra Technologies Corporation 12.37 ZyXEL =20 Chapter 13: Enabling Technology Providers 13.1 6WIND 13.2 Ablaze Wireless 13.3 Absolute Analysis 13.4 Accelink Technologies 13.5 ADLINK Technology 13.6 ADI (Analog Devices Inc.) 13.7 Advantech 13.8 AirHop Communications 13.9 AKM (Asahi Kasei Microdevices) 13.10 Allot Communications 13.11 Amarisoft 13.12 Amdocs 13.13 Anritsu Corporation 13.14 Aricent 13.15 ARM Holdings 13.16 Astellia 13.17 ASTRI (Hong Kong Applied Science and Technology Research Institute) 13.18 Artesyn Embedded Technologies 13.19 Artiza Networks 13.20 Avago Technologies 13.21 Azcom Technology 13.22 Benetel 13.23 Blu Wireless Technology 13.24 Broadcom Corporation 13.25 Cadence Design Systems 13.26 Cavium 13.27 CeedTec 13.28 Cellwize 13.29 Celtro 13.30 Coherent Logix 13.31 Comcores ApS 13.32 CommAgility 13.33 D2 Technologies 13.34 Dell 13.35 Direct Beam 13.36 eASIC Corporation 13.37 EDX Wireless 13.38 Eoptolink Technology 13.39 ERCOM 13.40 EXFO 13.41 Federated Wireless 13.42 Faraday Technology Corporation 13.43 Finisar Corporation 13.44 GigaLight (Shenzhen Gigalight Technology Company) 13.45 GlobalFoundaries 13.46 Hisense (Hisense Broadband Multimedia Technology) 13.47 HG Genuine 13.48 IDT (Integrated Device Technology) 13.49 IMEC International 13.50 InfoVista 13.51 InnoLight Technology Corporation 13.52 Intel Corporation 13.53 InterDigital 13.54 iPosi 13.55 Ixia 13.56 Keysight Technologies 13.57 Kumu Networks 13.58 Lattice Semiconductor 13.59 Lime Microsystems 13.60 Lumentum 13.61 Macom (M/A-COM Technology Solutions) 13.62 Maxim Integrated 13.63 Mellanox Technologies 13.64 Microsemi Corporation 13.65 Mitsubishi Electric Corporation 13.66 Mobiveil 13.67 Molex 13.68 Nash Technologies 13.69 NetScout Systems 13.70 Node-H 13.71 Nomor Research 13.72 NXP Semiconductors 13.73 OE Solutions 13.74 Octasic 13.75 Optulink 13.76 P.I. Works 13.77 Pletronics 13.78 PMC-Sierra 13.79 Procera Networks 13.80 Public Wireless 13.81 Qualcomm 13.82 Qulsar 13.83 QEOS 13.84 Qwilt 13.85 RADCOM 13.86 Radisys Corporation 13.87 Rakon 13.88 Red Hat 13.89 Reverb Networks 13.90 RF DSP 13.91 Saguna Networks 13.92 SAI Technology 13.93 Sarokal Test Systems 13.94 Silicon Labs 13.95 Sistelbanda 13.96 Source Photonics 13.97 Tata Elxsi 13.98 TEOCO Corporation 13.99 TI (Texas Instruments) 13.100 Tulinx 13.101 U-blox 13.102 Vectron International 13.103 Viavi Solutions 13.104 VPIsystems 13.105 WiPro 13.106 XCellAir 13.107 Xelic 13.108 Xilinx =20 Chapter 14: Mobile Backhaul & Fronthaul Vendors 14.1 3Roam 14.2 4RF 14.3 Accedian Networks 14.4 Actelis Networks 14.5 Actiontec 14.6 Actus Networks 14.7 ADTRAN 14.8 ADVA Optical Networking 14.9 Advantech Wireless 14.10 ALAXALA Networks 14.11 Albis Technologies 14.12 ALCOMA 14.13 Allied Data Technologies 14.14 Allied Telesis 14.15 Aquantia 14.16 Arris 14.17 Avanti Communications 14.18 Aviat Networks 14.19 AVM 14.20 BLiNQ Networks 14.21 BluWan 14.22 BridgeWave Communications 14.23 BTI Systems 14.24 CableFree Solutions 14.25 Calix 14.26 Cambium Networks 14.27 Canoga Perkins 14.28 Carlson Wireless Technologies 14.29 CBNL (Cambridge Broadband Networks Ltd.) 14.30 CCS (Cambridge Communication Systems) 14.31 Ceragon 14.32 Cielo Networks 14.33 Ciena Corporation 14.34 Comtrend 14.35 Corecess 14.36 Coriant 14.37 DASAN Networks 14.38 DragonWave 14.39 E-Band Communications (Moseley Associates) 14.40 EBlink 14.41 ECI Telecom 14.42 Elva-1 14.43 Exalt Communications 14.44 Extreme Networks 14.45 FastBack Networks 14.46 Fiberhome Technologies 14.47 FibroLan 14.48 Genmix Technology 14.49 Gilat Satellite Networks 14.50 HFR 14.51 Huahuan 14.52 Hughes Network Systems 14.53 HXI 14.54 iDirect 14.55 Infinera 14.56 Intracom Telecom 14.57 IPITEK 14.58 Iskratel 14.59 KEYMILE 14.60 LightPointe Communications 14.61 Loea Corporation 14.62 MAX4G 14.63 Microwave Networks 14.64 MIMOtech 14.65 MRV Communications 14.66 Nexcomm Systems 14.67 NexxComm Wireless 14.68 Omnitron Systems 14.69 OneAccess Networks 14.70 Polewall 14.71 Positron 14.72 Proxim Wireless Corporation 14.73 RACOM 14.74 RAD Data Communications 14.75 RADWIN 14.76 SAF Tehnika 14.77 SIAE Microelectronics (SIAE Microelectronica) 14.78 Siklu 14.79 SkyFiber 14.80 SMC Networks 14.81 Solectek 14.82 Star Microwave 14.83 Tarana Wireless 14.84 Telco Systems 14.85 Tellion 14.86 Tellumat 14.87 Telsey 14.88 Tilgin 14.89 Trango Systems 14.90 Ubiquoss 14.91 UTStarcom 14.92 Vubiq Networks 14.93 Wave1 14.94 Wavesight 14.95 Xavi Technologies 14.96 Yamaha Corporation 14.97 Zhone Technologies =20 Chapter 15: Global Market Analysis & Forecasts 15.1 Market Definition 15.2 Decomposing the Global Wireless Network Infrastructure Market 15.3 Macrocell RAN & Mobile Core 15.4 Macrocells 15.4.1 Segmentation by Air Interface Technology 15.4.1.1 2G & 3G 15.4.1.2 FDD LTE 15.4.1.3 TD-LTE 15.4.1.4 WiMAX 15.4.1.5 5G 15.5 Mobile Core 15.5.1 Segmentation by Technology 15.5.1.1 3G Packet Core 15.5.1.2 HLR 15.5.1.3 MSS 15.5.1.4 LTE EPC 15.5.1.5 WiMAX 15.5.1.6 5G 15.6 Mobile Backhaul 15.6.1 Segmentation by Technology 15.6.1.1 Ethernet 15.6.1.2 Microwave & Millimeter Wave 15.6.1.3 Satellite 15.6.1.4 WDM 15.6.1.5 PON 15.6.1.6 Others 15.7 Small Cells 15.7.1 Segmentation by Use Case 15.7.1.1 Residential 15.7.1.2 Enterprise 15.7.1.3 Urban 15.7.1.4 Rural & Suburban 15.7.2 Segmentation by Form Factor 15.7.2.1 Femtocells 15.7.2.2 Picocells 15.7.2.3 Microcells 15.7.3 Segmentation by Air Interface Technology 15.7.3.1 2G & 3G 15.7.3.2 LTE 15.7.3.3 5G 15.7.4 Segmentation by Deployment Model 15.7.4.1 Indoor 15.7.4.2 Outdoor 15.8 Small Cell Backhaul 15.8.1 Segmentation by Technology 15.8.1.1 DSL 15.8.1.2 Ethernet 15.8.1.3 Microwave 15.8.1.4 Millimeter Wave 15.8.1.5 Satellite 15.8.1.6 Fiber & Others 15.9 Carrier Wi-Fi 15.9.1 Segmentation by Submarket 15.9.1.1 Access Points 15.9.1.2 Access Point Controllers 15.9.2 Segmentation by Integration Approach 15.9.2.1 Standalone Wi-Fi Hotspots 15.9.2.2 Managed Wi-Fi Offload 15.10 C-RAN 15.10.1 Segmentation by Submarket 15.10.1.1 RRHs (Remote Radio Heads) 15.10.1.2 BBUs (Baseband Units) 15.10.2egmentation by Air Interface Technology 15.10.2.1 3G & LTE 15.10.2.2 5G 15.10.3 Segmentation by Deployment Model 15.10.3.1 Indoor 15.10.3.2 Outdoor 15.11 C-RAN Fronthaul 15.11.1 Segmentation by Technology 15.11.1.1 Dedicated Fiber 15.11.1.2 WDM 15.11.1.3 OTN & PON 15.11.1.4 Ethernet 15.11.1.5 Microwave 15.11.1.6 Millimeter Wave 15.12 DAS 15.12.1 Segmentation by Deployment Model 15.12.1.1 Indoor 15.12.1.2 Outdoor =20 Chapter 16: Regional Market Analysis & Forecasts 16.1 Segmentation by Region 16.1.1 Macrocells 16.1.2 Mobile Core 16.1.3 Macrocell Backhaul 16.1.4 Small Cells 16.1.5 Small Cell Backhaul 16.1.6 Carrier Wi-Fi 16.1.7 C-RAN 16.1.8 C-RAN Fronthaul 16.1.9 DAS 16.2 Asia Pacific 16.2.1 Macrocells 16.2.2 Mobile Core 16.2.3 Macrocell Backhaul 16.2.4 Small Cells 16.2.5 Small Cell Backhaul 16.2.6 Carrier Wi-Fi 16.2.7 C-RAN 16.2.8 C-RAN Fronthaul 16.2.9 DAS 16.3 Eastern Europe 16.3.1 Macrocells 16.3.2 Mobile Core 16.3.3 Macrocell Backhaul 16.3.4 Small Cells 16.3.5 Small Cell Backhaul 16.3.6 Carrier Wi-Fi 16.3.7 C-RAN 16.3.8 C-RAN Fronthaul 16.3.9 DAS 16.4 Latin & Central America 16.4.1 Macrocells 16.4.2 Mobile Core 16.4.3 Macrocell Backhaul 16.4.4 Small Cells 16.4.5 Small Cell Backhaul 16.4.6 Carrier Wi-Fi 16.4.7 C-RAN 16.4.8 C-RAN Fronthaul 16.4.9 DAS 16.5 Middle East & Africa 16.5.1 Macrocells 16.5.2 Mobile Core 16.5.3 Macrocell Backhaul 16.5.4 Small Cells 16.5.5 Small Cell Backhaul 16.5.6 Carrier Wi-Fi 16.5.7 C-RAN 16.5.8 C-RAN Fronthaul 16.5.9 DAS 16.6 North America 16.6.1 Macrocells 16.6.2 Mobile Core 16.6.3 Macrocell Backhaul 16.6.4 Small Cells 16.6.5 Small Cell Backhaul 16.6.6 Carrier Wi-Fi 16.6.7 C-RAN 16.6.8 C-RAN Fronthaul 16.6.9 DAS 16.7 Western Europe 16.7.1 Macrocells 16.7.2 Mobile Core 16.7.3 Macrocell Backhaul 16.7.4 Small Cells 16.7.5 Small Cell Backhaul 16.7.6 Carrier Wi-Fi 16.7.7 C-RAN 16.7.8 C-RAN Fronthaul 16.7.9 DAS =20 Chapter 17: Conclusion & Strategic Recommendations 17.1 Competitive Industry Landscape: Acquisitions, Alliances & Consolidation 17.2 Is Virtualization a Threat to the Wireless Network Infrastructure Mark= et=3F 17.3 Growing Focus on Enterprise RAN Deployments 17.4 Vendor Specific HetNet Offerings: Disrupting Traditional Network Archi= tectures 17.5 Moving Towards C-RAN Architecture 17.5.1 Global Deployment Prospects 17.5.2 From Centralized to Cloud RAN: Virtualizing the RAN 17.5.4 Interface Options: Is Ethernet a Feasible Solution=3F 17.5.5 Fronthaul Transport: Are Cheaper Options Emerging=3F 17.6 Standardization Driving RAN & Wi-Fi Integration 17.7 Outlook for LTE-Advanced 17.7.1 Upgrades for Capacity & Coverage Boosts 17.7.2 Moving Beyond Carrier Aggregation 17.7.3 Service Revenue Prospects 17.8 Status of TD-LTE Investments 17.8.1 China Mobile: Starting an Era of Large-Scale TD-LTE Deployments 17.8.2 Data Offloading Opportunities with TD-LTE Small Cells 17.8.3 Capitalizing on Tight Interworking Between TDD and FDD 17.9 Outlook for VoLTE & RCS 17.10 Bringing LTE-Broadcast & eMBMS into Focus 17.11 Outlook for Unlicensed LTE Small Cells 17.12 5G Development Efforts 17.12.1 Global Deployment Plans 17.12.2 R&D Focus Areas 17.12.3 5G Demonstrations & Performance Assessment 17.13 Smart Cities: Wireless Network Infrastructure Vendors to Lead the Way 17.14 Wireless Incumbents Could Face Cloud Rivals: Thanks to SDN & NFV 17.15 Spectrum: Driving Continued Acquisitions by Incumbent Mobile Operators 17.16 Mobile Operators Will Strive for Agility 17.17 Vertical Market Opportunities 17.18 SWOT Analysis 17.19 Strategic Recommendations 17.19.1 Recommendations for Mobile Operators 17.19.2 Recommendations for Wireless Network Infrastructure Vendors =20 List of figures Figure 1: Subsegments of the Wireless Network Infrastructure Market Figure 2: IMT-2020 Development Roadmap Figure 3: Macrocell RAN Component Segmentation by Technology Figure 4: HetNet RAN Component Segmentation by Technology Figure 5: Global VoLTE Subscriptions: 2016 - 2030 (Millions) Figure 6: Mobile Backhaul & Fronthaul Segmentation by Technology Figure 7: Annual Throughput of Mobile Network Data Traffic by Region: 2016 = - 2030 (Exabytes) Figure 8: Annual Global Throughput of Mobile Network Data Traffic by Access= Network Technology: 2016 - 2030 (Exabytes) Figure 9: Global Public Safety LTE Infrastructure Spending: 2016 - 2030 ($ = Million) Figure 10: TCO Comparison for 2G, 3G, LTE and HetNet Deployments ($ per GB) Figure 11: Strategic Options for Mobile Operators Figure 12: Global Mobile Network CapEx: 2016 - 2030 ($ Million) Figure 13: Mobile Network CapEx by Region: 2016 - 2030 ($ Million) Figure 14: CapEx Commitments for Top 25 Mobile Operators: 2015 ($ Million) Figure 15: China Mobile CapEx Commitments ($ Million) Figure 16: China Unicom CapEx Commitments ($ Million) Figure 17: AT&T Mobility CapEx Commitments ($ Million) Figure 18: Vodafone CapEx Commitments ($ Million) Figure 19: Verizon Wireless CapEx Commitments ($ Million) Figure 20: China Telecom CapEx Commitments ($ Million) Figure 21: NTT DoCoMo CapEx Commitments ($ Million) Figure 22: Sprint CapEx Commitments ($ Million) Figure 23: SoftBank CapEx Commitments ($ Million) Figure 24: T-Mobile US CapEx Commitments ($ Million) Figure 25: KDDI CapEx Commitments ($ Million) Figure 26: DT (Deutsche Telekom) CapEx Commitments ($ Million) Figure 27: MTS (Mobile TeleSystems) CapEx Commitments ($ Million) Figure 28: Orange CapEx Commitments ($ Million) Figure 29: Telenor Group CapEx Commitments ($ Million) Figure 30: SK Telecom CapEx Commitments ($ Million) Figure 31: Vivo CapEx Commitments ($ Million) Figure 32: TIM Brazil CapEx Commitments ($ Million) Figure 33: LG Uplus CapEx Commitments ($ Million) Figure 34: Telkomsel CapEx Commitments ($ Million) Figure 35: Megafon CapEx Commitments ($ Million) Figure 36: Bharti Airtel CapEx Commitments ($ Million) Figure 37: Movistar Venezuela CapEx Commitments ($ Million) Figure 38: TIM (Telecom Italia Mobile) CapEx Commitments ($ Million) Figure 39: Vimpelcom CapEx Commitments ($ Million) Figure 40: Asia Pacific Mobile Network CapEx: 2016 - 2030 ($ Million) Figure 41: Eastern Europe Mobile Network CapEx: 2016 - 2030 ($ Million) Figure 42: Latin & Central America Mobile Network CapEx: 2016 - 2030 ($ Mil= lion) Figure 43: Middle East & Africa Mobile Network CapEx: 2016 - 2030 ($ Millio= n) Figure 44: North America Mobile Network CapEx: 2016 - 2030 ($ Million) Figure 45: Western Europe Mobile Network CapEx: 2016 - 2030 ($ Million) Figure 46: Global Mobile Network Subscriptions: 2016 - 2030 (Millions) Figure 47: Global Mobile Network Service Revenue: 2016 - 2030 ($ Billion) Figure 48: Global Mobile Network Subscriptions by Technology: 2016 - 2030 (= Millions) Figure 49: Global Mobile Network Service Revenue by Technology: 2016 - 2030= ($ Billion) Figure 50: Global 2G & 3G Mobile Network Subscriptions: 2016 - 2030 (Millio= ns) Figure 51: Global 2G & 3G Mobile Network Service Revenue: 2016 - 2030 ($ Bi= llion) Figure 52: Global FDD LTE Mobile Network Subscriptions: 2016 - 2030 (Millio= ns) Figure 53: Global FDD LTE Mobile Network Service Revenue: 2016 - 2030 ($ Bi= llion) Figure 54: Global TD-LTE Mobile Network Subscriptions: 2016 - 2030 (Million= s) Figure 55: Global TD-LTE Mobile Network Service Revenue: 2016 - 2030 ($ Bil= lion) Figure 56: Global WiMAX Mobile Network Subscriptions: 2016 - 2030 (Millions) Figure 57: Global WiMAX Mobile Network Service Revenue: 2016 - 2030 ($ Bill= ion) Figure 58: Global 5G Mobile Network Subscriptions: 2016 - 2030 (Millions) Figure 59: Global 5G Mobile Network Service Revenue: 2016 - 2030 ($ Billion) Figure 60: Mobile Network Subscriptions by Region: 2016 - 2030 (Millions) Figure 61: Mobile Network Service Revenue by Region: 2016 - 2030 ($ Billion) Figure 62: Asia Pacific Mobile Network Subscriptions: 2016 - 2030 (Millions) Figure 63: Asia Pacific Mobile Network Service Revenue: 2016 - 2030 ($ Bill= ion) Figure 64: Eastern Europe Mobile Network Subscriptions: 2016 - 2030 (Millio= ns) Figure 65: Eastern Europe Mobile Network Service Revenue: 2016 - 2030 ($ Bi= llion) Figure 66: Latin & Central America Mobile Network Subscriptions: 2016 - 203= 0 (Millions) Figure 67: Latin & Central America Mobile Network Service Revenue: 2016 - 2= 030 ($ Billion) Figure 68: Middle East & Africa Mobile Network Subscriptions: 2016 - 2030 (= Millions) Figure 69: Middle East & Africa Mobile Network Service Revenue: 2016 - 2030= ($ Billion) Figure 70: North America Mobile Network Subscriptions: 2016 - 2030 (Million= s) Figure 71: North America Mobile Network Service Revenue: 2016 - 2030 ($ Bil= lion) Figure 72: Western Europe Mobile Network Subscriptions: 2016 - 2030 (Millio= ns) Figure 73: Western Europe Mobile Network Service Revenue: 2016 - 2030 ($ Bi= llion) Figure 74: RRH & FTTA Design Figure 75: Legacy RAN to C-RAN Architectural Migration Figure 76: The Wireless Network Infrastructure Industry Roadmap: 2016 - 2030 Figure 77: Wireless Network Infrastructure Value Chain Figure 78: Macrocell RAN Market Share by Vendor: 2015 (%) Figure 79: Mobile Core Market Share by Vendor: 2015 (%) Figure 80: Small Cell Market Share by Vendor: 2015 (%) Figure 81: Carrier Wi-Fi Market Share by Vendor: 2015 (%) Figure 82: C-RAN Market Share by Vendor: 2015 (%) Figure 83: DAS Market Share by Vendor: 2015 (%) Figure 84: Backhaul & Fronthaul Market Share by Vendor: 2015 (%) Figure 85: Global Wireless Network Infrastructure Revenue by Submarket: 201= 6 - 2030 ($ Million) Figure 86: Global Wireless Network Infrastructure Market Share by Submarket= : 2016 (%) Figure 87: Global Wireless Network Infrastructure Market Share by Submarket= : 2020 (%) Figure 88: Global Macrocell RAN & Mobile Core Revenue: 2016 - 2030 ($ Milli= on) Figure 89: Global Macrocell Base Station Shipments: 2016 - 2030 (Thousands = of Units) Figure 90: Global Macrocell Base Station Shipment Revenue: 2016 - 2030 ($ M= illion) Figure 91: Global Macrocell Base Station Shipments by Air Interface Technol= ogy: 2016 - 2030 (Thousands of Units) Figure 92: Global Macrocell Base Station Shipment Revenue by Air Interface = Technology: 2016 - 2030 ($ Million) Figure 93: Global 2G & 3G Macrocell Base Station Shipments: 2016 - 2030 (Th= ousands of Units) Figure 94: Global 2G & 3G Macrocell Base Station Shipment Revenue: 2016 - 2= 030 ($ Million) Figure 95: Global 2G & 3G Macrocell BSC Revenue: 2016 - 2030 ($ Million) Figure 96: Global LTE FDD Macrocell Base Station Shipments: 2016 - 2030 (Th= ousands of Units) Figure 97: Global LTE FDD Macrocell Base Station Shipment Revenue: 2016 - 2= 030 ($ Million) Figure 98: Global TD-LTE Macrocell Base Station Shipments: 2016 - 2030 (Tho= usands of Units) Figure 99: Global TD-LTE Macrocell Base Station Shipment Revenue: 2016 - 20= 30 ($ Million) Figure 100: Global WiMAX Macrocell Base Station Shipments: 2016 - 2030 (Tho= usands of Units) Figure 101: Global WiMAX Macrocell Base Station Shipment Revenue: 2016 - 20= 30 ($ Million) Figure 102: Global 5G Macrocell Base Station Shipments: 2016 - 2030 (Thousa= nds of Units) Figure 103: Global 5G Macrocell Base Station Shipment Revenue: 2016 - 2030 = ($ Million) Figure 104: Global Mobile Core Revenue: 2016 - 2030 ($ Million) Figure 105: Global Mobile Core Revenue by Technology: 2016 - 2030 ($ Millio= n) Figure 106: Global 3G Packet Core Revenue: 2016 - 2030 ($ Million) Figure 107: Global HLR Revenue: 2016 - 2030 ($ Million) Figure 108: Global MSS Revenue: 2016 - 2030 ($ Million) Figure 109: Global LTE EPC Revenue: 2016 - 2030 ($ Million) Figure 110: Global WIMAX Mobile Core Revenue: 2016 - 2030 ($ Million) Figure 111: Global 5G Mobile Core Revenue: 2016 - 2030 ($ Million) Figure 112: Global Macrocell Backhaul Revenue: 2016 - 2030 ($ Million) Figure 113: Global Macrocell Backhaul Revenue by Technology: 2016 - 2030 ($= Million) Figure 114: Global Ethernet Macrocell Backhaul Revenue: 2016 - 2030 ($ Mill= ion) Figure 115: Global Microwave & Millimeter Wave Macrocell Backhaul Revenue: = 2016 - 2030 ($ Million) Figure 116: Global Satellite Macrocell Backhaul Revenue: 2016 - 2030 ($ Mil= lion) Figure 117: Global WDM Macrocell Backhaul Revenue: 2016 - 2030 ($ Million) Figure 118: Global PON Macrocell Backhaul Revenue: 2016 - 2030 ($ Million) Figure 119: Global Other Technologies Macrocell Backhaul Revenue: 2016 - 20= 30 ($ Million) Figure 120: Global Small Cell Unit Shipments: 2016 - 2030 (Thousands of Uni= ts) Figure 121: Global Small Cell Unit Shipment Revenue: 2016 - 2030 ($ Million) Figure 122: Global Small Cell Unit Shipments by Use Case: 2016 - 2030 (Thou= sands of Units) Figure 123: Global Small Cell Unit Shipment Revenue by Use Case: 2016 - 203= 0 ($ Million) Figure 124: Global Residential Small Cell Unit Shipments: 2016 - 2030 (Thou= sands of Units) Figure 125: Global Residential Small Cell Unit Shipment Revenue: 2016 - 203= 0 ($ Million) Figure 126: Global Enterprise Small Cell Unit Shipments: 2016 - 2030 (Thous= ands of Units) Figure 127: Global Enterprise Small Cell Unit Shipment Revenue: 2016 - 2030= ($ Million) Figure 128: Global Urban Small Cell Unit Shipments: 2016 - 2030 (Thousands = of Units) Figure 129: Global Urban Small Cell Unit Shipment Revenue: 2016 - 2030 ($ M= illion) Figure 130: Global Rural & Suburban Small Cell Unit Shipments: 2016 - 2030 = (Thousands of Units) Figure 131: Global Rural & Suburban Small Cell Unit Shipment Revenue: 2016 = - 2030 ($ Million) Figure 132: Global Small Cell Unit Shipments by Form Factor: 2016 - 2030 (T= housands of Units) Figure 133: Global Small Cell Unit Shipment Revenue by Form Factor: 2016 - = 2030 ($ Million) Figure 134: Global Femtocell Unit Shipments: 2016 - 2030 (Thousands of Unit= s) Figure 135: Global Femtocell Unit Shipment Revenue: 2016 - 2030 ($ Million) Figure 136: Global Picocell Unit Shipments: 2016 - 2030 (Thousands of Units) Figure 137: Global Picocell Unit Shipment Revenue: 2016 - 2030 ($ Million) Figure 138: Global Microcell Unit Shipments: 2016 - 2030 (Thousands of Unit= s) Figure 139: Global Microcell Unit Shipment Revenue: 2016 - 2030 ($ Million) Figure 140: Global Small Cell Unit Shipments by Air Interface Technology: 2= 016 - 2030 (Thousands of Units) Figure 141: Global Small Cell Unit Shipment Revenue by Air Interface Techno= logy: 2016 - 2030 ($ Million) Figure 142: Global 2G & 3G Small Cell Unit Shipments: 2016 - 2030 (Thousand= s of Units) Figure 143: Global 2G & 3G Small Cell Unit Shipment Revenue: 2016 - 2030 ($= Million) Figure 144: Global LTE Small Cell Unit Shipments: 2016 - 2030 (Thousands of= Units) Figure 145: Global LTE Small Cell Unit Shipment Revenue: 2016 - 2030 ($ Mil= lion) Figure 146: Global 5G Small Cell Unit Shipments: 2016 - 2030 (Thousands of = Units) Figure 147: Global 5G Small Cell Unit Shipment Revenue: 2016 - 2030 ($ Mill= ion) Figure 148: Global Small Cell Unit Shipments by Deployment Model: 2016 - 20= 30 (Thousands of Units) Figure 149: Global Small Cell Unit Shipment Revenue by Deployment Model: 20= 16 - 2030 ($ Million) Figure 150: Global Indoor Small Cell Unit Shipments: 2016 - 2030 (Thousands= of Units) Figure 151: Global Indoor Small Cell Unit Shipment Revenue: 2016 - 2030 ($ = Million) Figure 152: Global Outdoor Small Cell Unit Shipments: 2016 - 2030 (Thousand= s of Units) Figure 153: Global Outdoor Small Cell Unit Shipment Revenue: 2016 - 2030 ($= Million) Figure 154: Global Small Cell Backhaul Revenue: 2016 - 2030 ($ Million) Figure 155: Global Small Cell Backhaul Revenue by Technology: 2016 - 2030 (= $ Million) Figure 156: Global DSL Small Cell Backhaul Revenue: 2016 - 2030 ($ Million) Figure 157: Global Ethernet Small Cell Backhaul Revenue: 2016 - 2030 ($ Mil= lion) Figure 158: Global Microwave Small Cell Backhaul Revenue: 2016 - 2030 ($ Mi= llion) Figure 159: Global Millimeter Wave Small Cell Backhaul Revenue: 2016 - 2030= ($ Million) Figure 160: Global Satellite Small Cell Backhaul Revenue: 2016 - 2030 ($ Mi= llion) Figure 161: Global Fiber & Other Technologies Small Cell Backhaul Revenue: = 2016 - 2030 ($ Million) Figure 162: Global Carrier Wi-Fi Revenue: 2016 - 2030 ($ Million) Figure 163: Global Carrier Wi-Fi Revenue by Submarket: 2016 - 2030 ($ Milli= on) Figure 164: Global Carrier Wi-Fi Access Point Unit Shipments: 2016 - 2030 (= Thousands of Units) Figure 165: Global Carrier Wi-Fi Access Point Unit Shipment Revenue: 2016 -= 2030 ($ Million) Figure 166: Global Carrier Wi-Fi Access Point Controller Unit Shipments: 20= 16 - 2030 (Thousands of Units) Figure 167: Global Carrier Wi-Fi Access Point Controller Unit Shipment Reve= nue: 2016 - 2030 ($ Million) Figure 168: Global Carrier Wi-Fi Access Point Unit Shipments by Integration= Approach: 2016 - 2030 (Thousands of Units) Figure 169: Global Carrier Wi-Fi Access Point Unit Shipment Revenue by Inte= gration Approach: 2016 - 2030 ($ Million) Figure 170: Global Standalone Carrier Wi-Fi Hotspot Unit Shipments: 2016 - = 2030 (Thousands of Units) Figure 171: Global Standalone Carrier Wi-Fi Hotspot Unit Shipment Revenue: = 2016 - 2030 ($ Million) Figure 172: Global Managed Carrier Wi-Fi Offload Hotspot Unit Shipments: 20= 16 - 2030 (Thousands of Units) Figure 173: Global Managed Carrier Wi-Fi Offload Unit Shipment Revenue: 201= 6 - 2030 ($ Million) Figure 174: Global C-RAN Revenue: 2016 - 2030 ($ Million) Figure 175: Global C-RAN Revenue by Submarket: 2016 - 2030 ($ Million) Figure 176: Global RRH Unit Shipments: 2016 - 2030 (Thousands of Units) Figure 177: Global RRH Unit Shipment Revenue: 2016 - 2030 ($ Million) Figure 178: Global C-RAN BBU Shipments: 2016 - 2030 (Thousands of Units) Figure 179: Global C-RAN BBU Shipment Revenue: 2016 - 2030 ($ Million) Figure 180: Global C-RAN Revenue by Air Interface Technology: 2016 - 2030 (= $ Million) Figure 181: Global C-RAN Revenue in 3G & LTE Networks: 2016 - 2030 ($ Milli= on) Figure 182: Global C-RAN Revenue in 5G Networks: 2016 - 2030 ($ Million) Figure 183: Global RRH Unit Shipments by Deployment Model: 2016 - 2030 (Tho= usands of Units) Figure 184: Global RRH Unit Shipment Revenue by Deployment Model: 2016 - 20= 30 ($ Million) Figure 185: Global Indoor RRH Unit Shipments: 2016 - 2030 (Thousands of Uni= ts) Figure 186: Global Indoor RRH Unit Shipment Revenue: 2016 - 2030 ($ Million) Figure 187: Global Outdoor RRH Unit Shipments: 2016 - 2030 (Thousands of Un= its) Figure 188: Global Outdoor RRH Unit Shipment Revenue: 2016 - 2030 ($ Millio= n) Figure 189: Global C-RAN Fronthaul Revenue: 2016 - 2030 ($ Million) Figure 190: Global C-RAN Fronthaul Revenue by Technology: 2016 - 2030 ($ Mi= llion) Figure 191: Global Dedicated Fiber Fronthaul Revenue: 2016 - 2030 ($ Millio= n) Figure 192: Global WDM Fronthaul Revenue: 2016 - 2030 ($ Million) Figure 193: Global OTN & PON Fronthaul Revenue: 2016 - 2030 ($ Million) Figure 194: Global Ethernet Fronthaul Revenue: 2016 - 2030 ($ Million) Figure 195: Global Microwave Fronthaul Revenue: 2016 - 2030 ($ Million) Figure 196: Global Millimeter Wave Fronthaul Revenue: 2016 - 2030 ($ Millio= n) Figure 197: Global DAS Node Unit Shipments: 2016 - 2020 (Thousands of Units) Figure 198: Global DAS Node Unit Shipment Revenue: 2016 - 2020 ($ Million) Figure 199: Global DAS Node Unit Shipments by Deployment Model: 2016 - 2020= (Thousands of Units) Figure 200: Global DAS Node Unit Shipment Revenue by Deployment Model: 2016= - 2020 ($ Million) Figure 201: Global Indoor DAS Node Unit Shipments: 2016 - 2020 (Thousands o= f Units) Figure 202: Global Indoor DAS Node Unit Shipment Revenue: 2016 - 2020 ($ Mi= llion) Figure 203: Global Outdoor DAS Node Unit Shipments: 2016 - 2020 (Thousands = of Units) Figure 204: Global Outdoor DAS Node Unit Shipment Revenue: 2016 - 2020 ($ M= illion) Figure 205: Wireless Network Infrastructure Revenue by Region: 2016 - 2030 = ($ Million) Figure 206: Macrocell Base Station Shipments by Region: 2016 - 2030 (Thousa= nds of Units) Figure 207: Macrocell Base Station Shipment Revenue by Region: 2016 - 2030 = ($ Million) Figure 208: 2G & 3G Macrocell BSC Revenue by Region: 2016 - 2030 ($ Million) Figure 209: Mobile Core Revenue by Region: 2016 - 2030 ($ Million) Figure 210: Macrocell Backhaul Revenue by Region: 2016 - 2030 ($ Million) Figure 211: Small Cell Unit Shipments by Region: 2016 - 2030 (Thousands of = Units) Figure 212: Small Cell Unit Shipment Revenue by Region: 2016 - 2030 ($ Mill= ion) Figure 213: Small Cell Backhaul Revenue by Region: 2016 - 2030 ($ Million) Figure 214: Carrier Wi-Fi Access Point Unit Shipments by Region: 2016 - 203= 0 (Thousands of Units) Figure 215: Carrier Wi-Fi Access Point Unit Shipment Revenue by Region: 201= 6 - 2030 ($ Million) Figure 216: Carrier Wi-Fi Access Point Controller Unit Shipments by Region:= 2016 - 2030 (Thousands of Units) Figure 217: Carrier Wi-Fi Access Point Controller Unit Shipment Revenue by = Region: 2016 - 2030 ($ Million) Figure 218: RRH Unit Shipments by Region: 2016 - 2030 (Thousands of Units) Figure 219: RRH Shipment Revenue by Region: 2016 - 2030 ($ Million) Figure 220: C-RAN BBU Shipments by Region: 2016 - 2030 (Thousands of Units) Figure 221: C-RAN BBU Shipment Revenue by Region: 2016 - 2030 ($ Million) Figure 222: C-RAN Fronthaul Revenue by Region: 2016 - 2030 ($ Million) Figure 223: DAS Node Unit Shipments by Region: 2016 - 2020 (Thousands of Un= its) Figure 224: DAS Node Unit Shipment Revenue by Region: 2016 - 2020 ($ Millio= n) Figure 225: Asia Pacific Wireless Network Infrastructure Revenue: 2016 - 20= 30 ($ Million) Figure 226: Asia Pacific Macrocell Base Station Shipments: 2016 - 2030 (Tho= usands of Units) Figure 227: Asia Pacific Macrocell Base Station Shipment Revenue: 2016 - 20= 30 ($ Million) Figure 228: Asia Pacific 2G & 3G Macrocell BSC Revenue: 2016 - 2030 ($ Mill= ion) Figure 229: Asia Pacific Mobile Core Revenue: 2016 - 2030 ($ Million) Figure 230: Asia Pacific Macrocell Backhaul Revenue: 2016 - 2030 ($ Million) Figure 231: Asia Pacific Small Cell Unit Shipments: 2016 - 2030 (Thousands = of Units) Figure 232: Asia Pacific Small Cell Unit Shipment Revenue: 2016 - 2030 ($ M= illion) Figure 233: Asia Pacific Small Cell Backhaul Revenue: 2016 - 2030 ($ Millio= n) Figure 234: Asia Pacific Carrier Wi-Fi Access Point Unit Shipments: 2016 - = 2030 (Thousands of Units) Figure 235: Asia Pacific Carrier Wi-Fi Access Point Unit Shipment Revenue: = 2016 - 2030 ($ Million) Figure 236: Asia Pacific Carrier Wi-Fi Access Point Controller Unit Shipmen= ts: 2016 - 2030 (Thousands of Units) Figure 237: Asia Pacific Carrier Wi-Fi Access Point Controller Unit Shipmen= t Revenue: 2016 - 2030 ($ Million) Figure 238: Asia Pacific RRH Unit Shipments: 2016 - 2030 (Thousands of Unit= s) Figure 239: Asia Pacific RRH Unit Shipment Revenue: 2016 - 2030 ($ Million) Figure 240: Asia Pacific C-RAN BBU Shipments: 2016 - 2030 (Thousands of Uni= ts) Figure 241: Asia Pacific C-RAN BBU Shipment Revenue: 2016 - 2030 ($ Million) Figure 242: Asia Pacific C-RAN Fronthaul Revenue: 2016 - 2030 ($ Million) Figure 243: Asia Pacific DAS Node Unit Shipments: 2016 - 2020 (Thousands of= Units) Figure 244: Asia Pacific DAS Node Unit Shipment Revenue: 2016 - 2020 ($ Mil= lion) Figure 245: Eastern Europe Wireless Network Infrastructure Revenue: 2016 - = 2030 ($ Million) Figure 246: Eastern Europe Macrocell Base Station Shipments: 2016 - 2030 (T= housands of Units) Figure 247: Eastern Europe Macrocell Base Station Shipment Revenue: 2016 - = 2030 ($ Million) Figure 248: Eastern Europe 2G & 3G Macrocell BSC Revenue: 2016 - 2030 ($ Mi= llion) Figure 249: Eastern Europe Mobile Core Revenue: 2016 - 2030 ($ Million) Figure 250: Eastern Europe Macrocell Backhaul Revenue: 2016 - 2030 ($ Milli= on) Figure 251: Eastern Europe Small Cell Unit Shipments: 2016 - 2030 (Thousand= s of Units) Figure 252: Eastern Europe Small Cell Unit Shipment Revenue: 2016 - 2030 ($= Million) Figure 253: Eastern Europe Small Cell Backhaul Revenue: 2016 - 2030 ($ Mill= ion) Figure 254: Eastern Europe Carrier Wi-Fi Access Point Unit Shipments: 2016 = - 2030 (Thousands of Units) Figure 255: Eastern Europe Carrier Wi-Fi Access Point Unit Shipment Revenue= : 2016 - 2030 ($ Million) Figure 256: Eastern Europe Carrier Wi-Fi Access Point Controller Unit Shipm= ents: 2016 - 2030 (Thousands of Units) Figure 257: Eastern Europe Carrier Wi-Fi Access Point Controller Unit Shipm= ent Revenue: 2016 - 2030 ($ Million) Figure 258: Eastern Europe RRH Unit Shipments: 2016 - 2030 (Thousands of Un= its) Figure 259: Eastern Europe RRH Unit Shipment Revenue: 2016 - 2030 ($ Millio= n) Figure 260: Eastern Europe C-RAN BBU Shipments: 2016 - 2030 (Thousands of U= nits) Figure 261: Eastern Europe C-RAN BBU Shipment Revenue: 2016 - 2030 ($ Milli= on) Figure 262: Eastern Europe C-RAN Fronthaul Revenue: 2016 - 2030 ($ Million) Figure 263: Eastern Europe DAS Node Unit Shipments: 2016 - 2020 (Thousands = of Units) Figure 264: Eastern Europe DAS Node Unit Shipment Revenue: 2016 - 2020 ($ M= illion) Figure 265: Latin & Central America Wireless Network Infrastructure Revenue= : 2016 - 2030 ($ Million) Figure 266: Latin & Central America Macrocell Base Station Shipments: 2016 = - 2030 (Thousands of Units) Figure 267: Latin & Central America Macrocell Base Station Shipment Revenue= : 2016 - 2030 ($ Million) Figure 268: Latin & Central America 2G & 3G Macrocell BSC Revenue: 2016 - 2= 030 ($ Million) Figure 269: Latin & Central America Mobile Core Revenue: 2016 - 2030 ($ Mil= lion) Figure 270: Latin & Central America Macrocell Backhaul Revenue: 2016 - 2030= ($ Million) Figure 271: Latin & Central America Small Cell Unit Shipments: 2016 - 2030 = (Thousands of Units) Figure 272: Latin & Central America Small Cell Unit Shipment Revenue: 2016 = - 2030 ($ Million) Figure 273: Latin & Central America Small Cell Backhaul Revenue: 2016 - 203= 0 ($ Million) Figure 274: Latin & Central America Carrier Wi-Fi Access Point Unit Shipmen= ts: 2016 - 2030 (Thousands of Units) Figure 275: Latin & Central America Carrier Wi-Fi Access Point Unit Shipmen= t Revenue: 2016 - 2030 ($ Million) Figure 276: Latin & Central America Carrier Wi-Fi Access Point Controller U= nit Shipments: 2016 - 2030 (Thousands of Units) Figure 277: Latin & Central America Carrier Wi-Fi Access Point Controller U= nit Shipment Revenue: 2016 - 2030 ($ Million) Figure 278: Latin & Central America RRH Unit Shipments: 2016 - 2030 (Thousa= nds of Units) Figure 279: Latin & Central America RRH Unit Shipment Revenue: 2016 - 2030 = ($ Million) Figure 280: Latin & Central America C-RAN BBU Shipments: 2016 - 2030 (Thous= ands of Units) Figure 281: Latin & Central America C-RAN BBU Shipment Revenue: 2016 - 2030= ($ Million) Figure 282: Latin & Central America C-RAN Fronthaul Revenue: 2016 - 2030 ($= Million) Figure 283: Latin & Central America DAS Node Unit Shipments: 2016 - 2020 (T= housands of Units) Figure 284: Latin & Central America DAS Node Unit Shipment Revenue: 2016 - = 2020 ($ Million) Figure 285: Middle East & Africa Wireless Network Infrastructure Revenue: 2= 016 - 2030 ($ Million) Figure 286: Middle East & Africa Macrocell Base Station Shipments: 2016 - 2= 030 (Thousands of Units) Figure 287: Middle East & Africa Macrocell Base Station Shipment Revenue: 2= 016 - 2030 ($ Million) Figure 288: Middle East & Africa 2G & 3G Macrocell BSC Revenue: 2016 - 2030= ($ Million) Figure 289: Middle East & Africa Mobile Core Revenue: 2016 - 2030 ($ Millio= n) Figure 290: Middle East & Africa Macrocell Backhaul Revenue: 2016 - 2030 ($= Million) Figure 291: Middle East & Africa Small Cell Unit Shipments: 2016 - 2030 (Th= ousands of Units) Figure 292: Middle East & Africa Small Cell Unit Shipment Revenue: 2016 - 2= 030 ($ Million) Figure 293: Middle East & Africa Small Cell Backhaul Revenue: 2016 - 2030 (= $ Million) Figure 294: Middle East & Africa Carrier Wi-Fi Access Point Unit Shipments:= 2016 - 2030 (Thousands of Units) Figure 295: Middle East & Africa Carrier Wi-Fi Access Point Unit Shipment R= evenue: 2016 - 2030 ($ Million) Figure 296: Middle East & Africa Carrier Wi-Fi Access Point Controller Unit= Shipments: 2016 - 2030 (Thousands of Units) Figure 297: Middle East & Africa Carrier Wi-Fi Access Point Controller Unit= Shipment Revenue: 2016 - 2030 ($ Million) Figure 298: Middle East & Africa RRH Unit Shipments: 2016 - 2030 (Thousands= of Units) Figure 299: Middle East & Africa RRH Unit Shipment Revenue: 2016 - 2030 ($ = Million) Figure 300: Middle East & Africa C-RAN BBU Shipments: 2016 - 2030 (Thousand= s of Units) Figure 301: Middle East & Africa C-RAN BBU Shipment Revenue: 2016 - 2030 ($= Million) Figure 302: Middle East & Africa C-RAN Fronthaul Revenue: 2016 - 2030 ($ Mi= llion) Figure 303: Middle East & Africa DAS Node Unit Shipments: 2016 - 2020 (Thou= sands of Units) Figure 304: Middle East & Africa DAS Node Unit Shipment Revenue: 2016 - 202= 0 ($ Million) Figure 305: North America Wireless Network Infrastructure Revenue: 2016 - 2= 030 ($ Million) Figure 306: North America Macrocell Base Station Shipments: 2016 - 2030 (Th= ousands of Units) Figure 307: North America Macrocell Base Station Shipment Revenue: 2016 - 2= 030 ($ Million) Figure 308: North America 2G & 3G Macrocell BSC Revenue: 2016 - 2030 ($ Mil= lion) Figure 309: North America Mobile Core Revenue: 2016 - 2030 ($ Million) Figure 310: North America Macrocell Backhaul Revenue: 2016 - 2030 ($ Millio= n) Figure 311: North America Small Cell Unit Shipments: 2016 - 2030 (Thousands= of Units) Figure 312: North America Small Cell Unit Shipment Revenue: 2016 - 2030 ($ = Million) Figure 313: North America Small Cell Backhaul Revenue: 2016 - 2030 ($ Milli= on) Figure 314: North America Carrier Wi-Fi Access Point Unit Shipments: 2016 -= 2030 (Thousands of Units) Figure 315: North America Carrier Wi-Fi Access Point Unit Shipment Revenue:= 2016 - 2030 ($ Million) Figure 316: North America Carrier Wi-Fi Access Point Controller Unit Shipme= nts: 2016 - 2030 (Thousands of Units) Figure 317: North America Carrier Wi-Fi Access Point Controller Unit Shipme= nt Revenue: 2016 - 2030 ($ Million) Figure 318: North America RRH Unit Shipments: 2016 - 2030 (Thousands of Uni= ts) Figure 319: North America RRH Unit Shipment Revenue: 2016 - 2030 ($ Million) Figure 320: North America C-RAN BBU Shipments: 2016 - 2030 (Thousands of Un= its) Figure 321: North America C-RAN BBU Shipment Revenue: 2016 - 2030 ($ Millio= n) Figure 322: North America C-RAN Fronthaul Revenue: 2016 - 2030 ($ Million) Figure 323: North America DAS Node Unit Shipments: 2016 - 2020 (Thousands o= f Units) Figure 324: North America DAS Node Unit Shipment Revenue: 2016 - 2020 ($ Mi= llion) Figure 325: Western Europe Wireless Network Infrastructure Revenue: 2016 - = 2030 ($ Million) Figure 326: Western Europe Macrocell Base Station Shipments: 2016 - 2030 (T= housands of Units) Figure 327: Western Europe Macrocell Base Station Shipment Revenue: 2016 - = 2030 ($ Million) Figure 328: Western Europe 2G & 3G Macrocell BSC Revenue: 2016 - 2030 ($ Mi= llion) Figure 329: Western Europe Mobile Core Revenue: 2016 - 2030 ($ Million) Figure 330: Western Europe Macrocell Backhaul Revenue: 2016 - 2030 ($ Milli= on) Figure 331: Western Europe Small Cell Unit Shipments: 2016 - 2030 (Thousand= s of Units) Figure 332: Western Europe Small Cell Unit Shipment Revenue: 2016 - 2030 ($= Million) Figure 333: Western Europe Small Cell Backhaul Revenue: 2016 - 2030 ($ Mill= ion) Figure 334: Western Europe Carrier Wi-Fi Access Point Unit Shipments: 2016 = - 2030 (Thousands of Units) Figure 335: Western Europe Carrier Wi-Fi Access Point Unit Shipment Revenue= : 2016 - 2030 ($ Million) Figure 336: Western Europe Carrier Wi-Fi Access Point Controller Unit Shipm= ents: 2016 - 2030 (Thousands of Units) Figure 337: Western Europe Carrier Wi-Fi Access Point Controller Unit Shipm= ent Revenue: 2016 - 2030 ($ Million) Figure 338: Western Europe RRH Unit Shipments: 2016 - 2030 (Thousands of Un= its) Figure 339: Western Europe RRH Unit Shipment Revenue: 2016 - 2030 ($ Millio= n) Figure 340: Western Europe C-RAN BBU Shipments: 2016 - 2030 (Thousands of U= nits) Figure 341: Western Europe C-RAN BBU Shipment Revenue: 2016 - 2030 ($ Milli= on) Figure 342: Western Europe C-RAN Fronthaul Revenue: 2016 - 2030 ($ Million) Figure 343: Western Europe DAS Node Unit Shipments: 2016 - 2020 (Thousands = of Units) Figure 344: Western Europe DAS Node Unit Shipment Revenue: 2016 - 2020 ($ M= illion) Figure 345: Global Enterprise RAN Investments: 2016 - 2030 ($ Million) Figure 346: Baseband Processing Distribution Options for C-RAN Figure 347: Global Dual-Mode Cellular/Wi-Fi Small Cell Unit Shipments: 2016= - 2030 (Thousands of Units) Figure 348: SWOT Analysis of the Wireless Network Infrastructure Market =20 To unsubscribe send an email with unsubscribe in the subject line to: remov= e@snsreports.com From owner-freebsd-ppc@freebsd.org Mon Apr 4 20:19:52 2016 Return-Path: Delivered-To: freebsd-ppc@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id 678E4B02EDB for ; Mon, 4 Apr 2016 20:19:52 +0000 (UTC) (envelope-from bugzilla-noreply@freebsd.org) Received: from kenobi.freebsd.org (kenobi.freebsd.org [IPv6:2001:1900:2254:206a::16:76]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (Client did not present a certificate) by mx1.freebsd.org (Postfix) with ESMTPS id 3E7781A42 for ; Mon, 4 Apr 2016 20:19:52 +0000 (UTC) (envelope-from bugzilla-noreply@freebsd.org) Received: from bugs.freebsd.org ([127.0.1.118]) by kenobi.freebsd.org (8.15.2/8.15.2) with ESMTP id u34KJpla014141 for ; Mon, 4 Apr 2016 20:19:52 GMT (envelope-from bugzilla-noreply@freebsd.org) From: bugzilla-noreply@freebsd.org To: freebsd-ppc@FreeBSD.org Subject: [Bug 207599] fixes for kernel built with clang failing to boot on ppc64 qemu Date: Mon, 04 Apr 2016 20:19:52 +0000 X-Bugzilla-Reason: AssignedTo X-Bugzilla-Type: changed X-Bugzilla-Watch-Reason: None X-Bugzilla-Product: Base System X-Bugzilla-Component: kern X-Bugzilla-Version: 11.0-CURRENT X-Bugzilla-Keywords: patch X-Bugzilla-Severity: Affects Only Me X-Bugzilla-Who: markmi@dsl-only.net X-Bugzilla-Status: New X-Bugzilla-Resolution: X-Bugzilla-Priority: --- X-Bugzilla-Assigned-To: freebsd-ppc@FreeBSD.org X-Bugzilla-Flags: X-Bugzilla-Changed-Fields: cc Message-ID: In-Reply-To: References: Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable X-Bugzilla-URL: https://bugs.freebsd.org/bugzilla/ Auto-Submitted: auto-generated MIME-Version: 1.0 X-BeenThere: freebsd-ppc@freebsd.org X-Mailman-Version: 2.1.21 Precedence: list List-Id: Porting FreeBSD to the PowerPC List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 04 Apr 2016 20:19:52 -0000 https://bugs.freebsd.org/bugzilla/show_bug.cgi?id=3D207599 Mark Millard changed: What |Removed |Added ---------------------------------------------------------------------------- CC| |markmi@dsl-only.net --- Comment #1 from Mark Millard --- (In reply to Kenneth Salerno from comment #0) FYI: https://llvm.org/bugs/show_bug.cgi?id=3D25780 has a list of reports th= at FreeBSD requires to be fixed in order for clang to be the system compiler f= or powerpc and/or powerpc64. Some of the points are powerpc-only issues but so= me of the material also applies to powerpc64. (powerpc64 has had less checking/testing.) One of the major things messed up is C++ exception handling, with several issues contributing to the overall status. That in turn messes up being abl= e to use kyua for testing: kyua uses C++ exception handling extensively. The kernel's own code may systematically avoid using some of the messed up = code generation: most of the reported material that was based on testing is for buildworld attempts for TARGET_ARCH=3Dpowerpc. Some of the powerpc64 materi= al was just noted by someone to be analogous in the clang source code. Some of the code generation problems are reported to be low probability out= side the C++ exception handling context that forces certain examples of some more general issues. If you find more clang powerpc64 code generation problems it would be good = to add more reports on llvm.org/bugs and have them listed in llvm.org/bug's 25= 780. It may be that some of the material in the comments for some of the llvm.org/bugs submittals might eventually need their own submittals if the fixing-effort is sufficiently distinct. As stands some of the one-line descriptions only indicate an example of multiple related issues reported in the comments. --=20 You are receiving this mail because: You are the assignee for the bug.= From owner-freebsd-ppc@freebsd.org Wed Apr 6 20:14:48 2016 Return-Path: Delivered-To: freebsd-ppc@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id 18967B0687F for ; Wed, 6 Apr 2016 20:14:48 +0000 (UTC) (envelope-from markmi@dsl-only.net) Received: from asp.reflexion.net (outbound-mail-211-156.reflexion.net [208.70.211.156]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (Client did not present a certificate) by mx1.freebsd.org (Postfix) with ESMTPS id BDA22105C for ; Wed, 6 Apr 2016 20:14:47 +0000 (UTC) (envelope-from markmi@dsl-only.net) Received: (qmail 4653 invoked from network); 6 Apr 2016 20:15:08 -0000 Received: from unknown (HELO rtc-sm-01.app.dca.reflexion.local) (10.81.150.1) by 0 (rfx-qmail) with SMTP; 6 Apr 2016 20:15:08 -0000 Received: by rtc-sm-01.app.dca.reflexion.local (Reflexion email security v7.90.2) with SMTP; Wed, 06 Apr 2016 16:14:50 -0400 (EDT) Received: (qmail 24296 invoked from network); 6 Apr 2016 20:14:50 -0000 Received: from unknown (HELO iron2.pdx.net) (69.64.224.71) by 0 (rfx-qmail) with SMTP; 6 Apr 2016 20:14:50 -0000 X-No-Relay: not in my network X-No-Relay: not in my network X-No-Relay: not in my network Received: from [192.168.1.8] (c-76-115-7-162.hsd1.or.comcast.net [76.115.7.162]) by iron2.pdx.net (Postfix) with ESMTPSA id 83D5C1C407A; Wed, 6 Apr 2016 13:14:41 -0700 (PDT) Content-Type: text/plain; charset=us-ascii Mime-Version: 1.0 (Mac OS X Mail 9.3 \(3124\)) Subject: Fwd: 11.0: head/lib/libsysdecode/Makefile for . . ./libsoft/usr/include uses CPP when XCPP needed? [Makefile.libcompat issue] From: Mark Millard In-Reply-To: <9952A60C-C3F1-40C3-AEAE-96AF6CA6E829@dsl-only.net> Date: Wed, 6 Apr 2016 13:14:44 -0700 Cc: Bryan Drewery Content-Transfer-Encoding: quoted-printable Message-Id: <6311C740-362F-45AE-9044-B72E61FC04C9@dsl-only.net> References: <3A6ED16B-F941-41FC-B844-50292894D5F4@dsl-only.net> <050EC0FA-21F9-4EAB-8771-B0F6E9DEE087@dsl-only.net> <9952A60C-C3F1-40C3-AEAE-96AF6CA6E829@dsl-only.net> To: FreeBSD Current , FreeBSD PowerPC ML X-Mailer: Apple Mail (2.3124) X-BeenThere: freebsd-ppc@freebsd.org X-Mailman-Version: 2.1.21 Precedence: list List-Id: Porting FreeBSD to the PowerPC List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Wed, 06 Apr 2016 20:14:48 -0000 The below forwards an example of a possibly more general issue not = necessarily limited to arm context of the example: in a cross compile = context the host CPP is in use via Makefile.libcompat not involving = "${XCPP}" and so various macro checks for the target context fail to = work. [The below and the material leading up to it was originally posted to = freebsd-arm.] =3D=3D=3D Mark Millard markmi at dsl-only.net On 2016-Apr-4, at 2:02 PM, Mark Millard wrote: As a fix for >> --- all_subdir_lib/libsysdecode --- >> In file included from :17: >> In file included from = /usr/obj/clang/arm.armv6/usr/src/libsoft/usr/include/dev/nvme/nvme.h:36: >> In file included from = /usr/obj/clang/arm.armv6/usr/src/libsoft/usr/include/sys/param.h:135: >> In file included from = /usr/obj/clang/arm.armv6/usr/src/libsoft/usr/include/machine/param.h:49: >> = /usr/obj/clang/arm.armv6/usr/src/libsoft/usr/include/machine/acle-compat.h= :182:4: error: Unable to determine architecture version. >> # error Unable to determine architecture version. >> ^ I tested building an amd64 -> arm cross-build based on > # svnlite diff Makefile.libcompat > Index: Makefile.libcompat > =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D > --- Makefile.libcompat (revision 297514) > +++ Makefile.libcompat (working copy) > @@ -90,6 +90,7 @@ > DTRACE=3D"${LIB$COMPATDTRACE:U${DTRACE}}" > LIBCOMPATWMAKEFLAGS+=3D CC=3D"${XCC} ${LIBCOMPATCFLAGS}" \ > CXX=3D"${XCXX} ${LIBCOMPATCFLAGS} ${LIBCOMPATCXXFLAGS}" = \ > + CPP=3D"${XCPP}" \ > DESTDIR=3D${LIBCOMPATTMP} \ > -DNO_CPU_CFLAGS \ > MK_CTF=3Dno \ and it completed without getting an "error:". So this addition to = Makefile.libcompat may be one option for a fix. =3D=3D=3D Mark Millard markmi at dsl-only.net From owner-freebsd-ppc@freebsd.org Wed Apr 6 22:08:36 2016 Return-Path: Delivered-To: freebsd-ppc@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id 60BDDB0705E for ; Wed, 6 Apr 2016 22:08:36 +0000 (UTC) (envelope-from peter.turay@vgtelecomreports.com) Received: from smtp.vgtelecomreports.com (smtp.vgtelecomreports.com [202.0.103.20]) by mx1.freebsd.org (Postfix) with ESMTP id 0204F1D2A for ; Wed, 6 Apr 2016 22:08:32 +0000 (UTC) (envelope-from peter.turay@vgtelecomreports.com) X-SmarterMail-Authenticated-As: admin@vgtelecomreports.com DomainKey-Signature: a=rsa-sha1; c=nofws; q=dns; d=vgtelecomreports.com; s=smtp; h=received:from:to:message-id:subject:date:mime-version:reply-to :content-type; b=Fgv7j93kfgoQGQ78KTxhYFDHKsLND+H2H78xshtW8cY+gFkyovAuSnVHRbUscwquJ RO9YdX4YQDxXO55AKyKqcxskR4LhN70IedvNlEtHWfQ1oPWOTtvVXrQ60d5hfF/3V oT9JGbLRpJg2CwjO8BrXy0OcDfWoTTn0pqltgoM2U= DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=vgtelecomreports.com; s=smtp; h= content-type:reply-to:mime-version:date:subject:message-id:to:from; bh=+dBCfacg8T8A1twjQp7FK00QGqjsW3i5UsGigVH0sHo=; b=YPFPu19Gq1pZKSvAP4vDaRvlx5Z1dyvGe99Yhl+H+2TgdmK2rvco0MzQxNeaq9xJ+ sv2SGRW5yQVvyvpORQeTxHbTMWv+S+V9gIFw2ZYh05zAEYx1kkWvRJ5Z9RpFyCiZm Lf8lB0bZ/8WSw87cBwLQDjo7yGpKn5AH/u+Pi6xvI= Received: from WIN-ASQ29B6R1EP (WIN-ASQ29B6R1EP [202.0.103.127]) by smtp.vgtelecomreports.com with SMTP; Wed, 6 Apr 2016 13:12:43 +0100 From: Peter Turay To: freebsd-ppc@freebsd.org Message-Id: <20160406131243.-664775967@vgtelecomreports.com> Subject: Report - Internet Of Things (IOT) Market Forecast 2015-2020 Date: Wed, 6 Apr 2016 13:12:43 +0100 MIME-Version: 1.0 Reply-To: peter.turay@vgtelecomreports.com Content-Type: text/plain; charset="ISO-8859-1" Content-Transfer-Encoding: 8bit X-Content-Filtered-By: Mailman/MimeDel 2.1.21 X-BeenThere: freebsd-ppc@freebsd.org X-Mailman-Version: 2.1.21 Precedence: list List-Id: Porting FreeBSD to the PowerPC List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Wed, 06 Apr 2016 22:08:36 -0000 Internet Of Things (IOT) Market Forecast 2015-2020 Smart Home, Connected Transportation, Medical IoT, Industrial IoT & Others Telecomms Report Publication date: 9th March 2015 Number of Pages: 222 ------------------------------------------------------------ In the next five years, Visiongain expects to observe strong growth in IoT connections and revenue, driven by the increasing investment from private companies and a few government institutions that understand the dramatic effect that this technology will have in the global economy by 2020. 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Why you should buy the Internet of Things (IoT) Market Forecast 2015-2020: Smart Home, Connected Transportation, Medical IoT, Industrial IoT & Others Report • View global internet of things (IoT) market forecasts from 2015-2020 - Keep your knowledge ahead of your competition, whilst ensuring you exploit key business opportunities - Detailed projections of market connections and revenue, its competitors, and commercial drivers and restraints, allowing you to keep aware of key market factors. Alongside our market forecasts from 2015-2020, our new study shows, the latest developments in different verticals, original critical analysis, and insight into both national and global markets. • Internet of things (IoT) submarket forecasts from 2015-2020 - Industrial Internet of Things Connections 2015-2020 - Industrial Internet of Things Revenues 2015-2020 - Industrial Internet of Things 2015-2020: Agriculture - Industrial Internet of Things 2015-2020: Oil & Energy - Industrial Internet of Things 2015-2020: Retail - Industrial Internet of Things 2015-2020: Manufacturing & Others - Transportation Internet of Things Connections 2015-2020 - Transportation Internet of Things Revenues 2015-2020 - Transportation Internet of Things 2015-2020: Sea Transport - Transportation Internet of Things 2015-2020: Connected Cars - Transportation Internet of Things 2015-2020: Aviation - Smart Home Internet of Things Connections 2015-2020 - Smart Home Internet of Things Revenues 2015-2020 - Smart Home Internet of Things Connections 2015-2020: Smartphones - Smart Home Internet of Things Connections 2015-2020: Utilities - Other Internet of Things Revenues 2015-2020 (Including Fixed Broadband & Government) - Other Internet of Things Connections 2015-2020 (Including Fixed Broadband & Government) • Discover regional IoT revenue forecasts from 2015-2020 - What are the dynamics of the IoT industry? 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Learn about the forces influencing market dynamics. - Explore the economic, social, technological and regulatory issues assessing IoT advances. - Discover what the present and future outlook for business will be. Learn about the following business critical issues: - Regulatory constraints - Supply and demand dynamics - Competition from different companies - Increasing changes in the Telecoms sector - Different types of verticals and IoT services - Advances in product development - Analysis of barriers-to-entry - Increasing competition in the IoT market - The significance of government initiatives and support • Identify who the leading companies are in the IoT industry - Our report reveals the companies holding the greatest potential by exploring and analyzing the companies' commercial activities. View Visiongain’s assessment of the prospects for established competitors, rising companies and new market entrants. Our work defines the potential in helping you stay ahead. Acquire thorough understanding of the competitive landscape with profiles of 32 leading IoT companies examining their positioning, capabilities, product portfolios, R&D activity, services, focus, strategies and future outlook. - AT&T - Apple - Axeda - Berkeley Varitronics Systems - Cisco Systems - China Mobile - China Unicom - Deutsche Telekom - General Electric GE - Google - IBM - ILS Technology - iMetrik Solutions - Jasper Wireless - Kore Telematics - Microsoft - Novatel Wireless - NTT DoCoMo - Numerex - Orange - SensorLogic - Sierra Wireless - SIMCom Wireless Solutions - Sprint Corporation - Telecom Italia SpA - Telefónica S.A - TeliaSonera - Telit Wireless Solutions - Verizon Communications - Vodafone Group Plc - Wilson Electronics - Wyless Discover Information found nowhere else in this independent assessment of the IoT market The Internet of Things (IoT) Market Forecast 2015-2020: Smart Home, Connected Transportation, Medical IoT, Industrial IoT & Others provides impartial IoT sector analysis from independent business intelligence found only in our bespoke work. Our research provides you with key strategic advantages: informed forecasts, independent and objective analysis and company profiles, that provides you with substantial awareness over your competitors in the marketplace. What makes this report unique? Visiongain’s research methodology involves an exclusive blend of primary and secondary sources providing informed analysis. This methodology allows insight into the key drivers and restraints behind market dynamics and competitive developments. Furthermore, an ideal balance of qualitative analysis combined with extensive quantitative data is included, as well as global, national and regional markets forecasts from 2014-2019 Why choose Visiongain business intelligence? Visiongain’s increasingly diverse sector coverage strengthens our research portfolio. The growing cross-sector convergence and our interplay of game-changing technologies across numerous industries create new synergies, resulting in new business opportunities to leverage. How the Internet of Things (IoT) Market Forecast 2015-2020: Smart Home, Connected Transportation, Medical IoT, Industrial IoT & Others Report can benefit your business Visiongain's report is for anyone requiring analysis of the IoT market. You will discover market forecasts, technological trends, and predictions providing you with independent analysis derived from our extensive primary and secondary research. Discover more about the Internet-Of-Things market and find out who and where its future market prospects are. Order our report - The Internet of Things (IoT) Market Forecast 2015-2020: Smart Home, Connected Transportation, Medical IoT, Industrial IoT & Others. ------------------------------------------------------------ Table of Contents 1. Executive Summary 1.1 Internet of Things Could Revolutionize The Global Economy 1.2 Market Definition 1.3 Market Segmentation 1.4 Benefits of This Report 1.5 Methodology 1.6 Frequently Asked Questions (FAQ) 1.7 About Visiongain 2. Introduction to the Internet of Things Market 2.1 What Defines the Internet of Things? 2.2 M2M Technology is the Backbone behind the Massive Potential in the Internet of Things Market 2.2.1 M2M History and Recent Developments 2.3 A Benefits Derived From Internet of Things 2.4 IoT Applications by Industry 2.5 Cloud to Play Pivotal Role in the Internet of Things Industry Boom 2.6 Big-Data to Explode With the Rise in Internet of Things Market 2.7 Growth in the Wireless Sector 2.8 The Internet of Things Value Chain 3. Global Forecasts for IoT Revenues & Connections 2015-2020 3.1 Global Forecast for IoT Connections 2015-2020 3.2 Global IoT Revenue Forecast 2015-2020 4. Regional IoT Revenue Forecasts 2015-2020 4.1 North American Revenue Forecasts 2015-2020 4.2 LATAM Revenue Forecasts 2015-2020 4.3 European Revenue Forecasts 2015-2020 4.4 APAC Revenue Forecasts 2015-2020 4.5 MEA Revenue Forecasts 2015-2020 5. Internet of Things Sub-Segment Revenues & Connections Forecasts 2015-2020 5.1Global Forecasts for the Industrial Internet of Things Connections 2015-2020 5.1.1Global Forecasts for the Industrial Internet of Things Revenues 2015-2020 5.1.2 Global Forecasts for the Industrial Internet of Things 2015-2020: Agriculture 5.1.3 Global Forecasts for the Industrial Internet of Things 2015-2020: Oil & Energy 5.1.4 Global Forecasts for the Industrial Internet of Things 2015-2020: Retail 5.1.5 Global Forecasts for the Industrial Internet of Things 2015-2020: Manufacturing & Others 5.2 Global Forecasts for the Transportation Internet of Things Connections 2015-2020 5.2.1 Global Forecasts for the Transportation Internet of Things Revenues 2015-2020 5.2.2 Global Forecasts for the Transportation Internet of Things 2015-2020: Sea Transport 5.2.3 Global Forecasts for the Transportation Internet of Things 2015-2020: Connected Cars 5.2.4 Global Forecasts for the Transportation Internet of Things 2015-2020: Aviation 5.3 Global Forecasts for the Smart Home Internet of Things Connections 2015-2020 5.3.1 Global Forecasts for the Smart Home Internet of Things Revenues 2015-2020 5.3.2 Global Forecasts for the Smart Home Internet of Things Connections 2015-2020: Smartphones 5.3.3 Global Forecasts for the Smart Home Internet of Things Connections 2015-2020: Utilities 5.4 Global Forecasts for the Medical Internet of Things Connections 2015-2020 5.4.1 Global Forecasts for the Medical Internet of Things Connections 5.4.2 Global Forecasts for the Medical Internet of Things Revenues 5.4.2.1 Global Forecasts for the Medical Internet of Things Revenues 5.5 Global Forecasts for Other Internet of Things (Including Fixed 5.5.1 Global Forecasts for Other Internet of Things (Including Fixed 6. Top Ten National IoT Connections Forecasts 2015-2020 6.1 Chinese IoT Connections Forecasts 2015-2020 6.2 United States IoT Connections Forecasts 2015-2020 6.3 Japanese IoT Connections Forecasts 2015-2020 6.4 Indian IoT Connections Forecasts 2015-2020 6.5 Russian IoT Connections Forecasts 2015-2020 6.6 German IoT Connections Forecasts 2015-2020 6.7 Brazilian IoT Connections Forecasts 2015-2020 6.8 Indonesian IoT Connections Forecasts 2015-2020 6.9 United Kingdom IoT Connections Forecasts 2015-2020 6.10 South Korean IoT Connections Forecasts 2015-2020 7. Drivers & Constraints For The Internet of Things 7.1 Drivers of The Internet of Things 7.1.1 Cost savings 7.1.2 Creating New Revenue Streams 7.1.3 Connected Devices Growing Rapidly 7.1.4 IoT Gaining Popularity 7.1.5 Enhanced Market Segmentation 7.1.6 IoT Can be Expanded to Any Vertical 7.2 Constraints of The Internet of Things 7.2.1 IoT Solutions Can Be Expensive 7.2.2 Technical Problems 7.2.3 Limited Awareness 7.2.3 Limited Awareness 7.2.4 Security Concerns 7.2.5 Highly Fragmented Market Place 7.2.6 Unclear Business Models 8. Leading Companies in the Internet of Things Market 8.1 AT&T 8.1.1 AT&T Business Aims 8.1.2 AT&T Position In The Market 8.2 China Mobile Company Overview 8.2.1 China Mobile Historic Revenues & Net Income 8.2.3 China Mobile M2M Offerings 8.3 Vodafone Group Plc Overview 8.3.1 Vodafone Group Plc Historic Revenues & Net Income 8.3.2 Vodafone Group M2M Offerings 8.4 Deutsche Telekom Company Overview 8.4.1 Deutsche Telekom Historic Revenues & Net Income 8.4.2 Deutsche Telekom M2M Offerings 8.5 Telefónica S.A Overview 8.5.1 Telefónica S.A Historic Revenues & Net Income 8.5.2 Telefónica S.A M2M Products 8.6 Verizon Communications Overview 8.6.1 Verizon Communications Historic Revenues & Net Income 8.6.2 Verizon’s M2M Solutions and Overall Strategy 8.6.3 Verizon’s Focus on Automotive Industry 8.7 Orange S.A Overview 8.7.1 Orange S.A Historic Revenues & Net Income 8.7.2 Orange M2M Offerings 8.8 Sprint Corporation Overview 8.8.1 Sprint Corporation Historic Revenues & Net Income 8.8.2 Sprint’s Assets, Strengths, and Strategy 8.8.3 Sprint M2M Partner Ecosystem 8.9 Kore Telematics Overview 8.9.1 Kore Telematics Offerings 8.9.2 KORE Partnerships and Strategy Overview 8.10 NTT DoCoMo Overview 8.10.1 NTT DoCoMo Historic Revenues & Net Income 8.10.2 NTT DoCoMo M2M Offerings 8.11 Telecom Italia SpA Overview 8.11.1 Telecom Italia SpA Historic Revenues & Net Income 8.11.2 Telecom Italia SpA M2M Strategy 8.12 Wyless Total Revenues & M2M Connection 8.13 Axeda 8.14 SensorLogic 8.15 Sierra Wireless 8.16 Telit Wireless Solutions 8.16.1 Telit Wireless M&A 8.16.2 ILS Technology 8.17 TeliaSonera 8.18 Wilson Electronics 8.19 Novatel Wireless 8.20 SIMCom Wireless Solutions 8.21 Jasper Wireless 8.21.1 Jasper Wireless Control Center 8.21.2 Jasper Wireless-powered M2M alliance 8.22 Numerex 8.23 Berkeley Varitronics Systems 8.24 iMetrik Solutions 8.24.1 iMETRIK 8.24.2 iMetrik-COLLECT 8.24.3 iMetrik-COVER 8.24.4 iMetrik-PROTECT 8.25 IBM Company Overview 5.26 GE Company Overview 8.27 Microsoft Company Overview 8.27.1 Retail 8.27.2 Healthcare 8.27.3 Automotive 8.27.4 Microsoft Azure Intelligent Systems 8.28 Google Company Overview 8.29 Apple Inc. Overview 8.30 Cisco Systems Company Overview 8.31 Other Leading Companies in the IoT Market 9. Conclusions 9.1 Internet of Things Market Drivers 9.1.1 Network Coverage 9.1.2 Telematics and Telemetry Increasing Efficiency 9.1.3 Service Providers Need to Expand Offerings 9.1.4 IPv6 Will Increase IoT Opportunities 9.1.5 M2M Creating Scope for Development of New Applications 9.2 Internet of Things Characteristics 9.2.1 Fragmented Value Chain 9.2.2 Lack of Universal Standards 9.2.3 Marketing Challenges 9.2.4 Roaming 9.2.5 Security Concerns 9.3 Way Forward 9.3.1 Increase in M2M Partnerships 9.3.2 Standardisation 9.3.3 Measuring Data 9.3.4 New Business Models 10. Glossary ------------------------------------------------------------ List of Tables Table 2.1: IoT Applications by Industry Table 3.1: Global IoT Connections Forecast 2015-2020 (Billions, AGR % and CAGR) Table 3.2: Global IoT Sub-Segment Connections Forecast 2015-2020 (Billions, AGR%) Table 3.6: Global IoT Revenues Forecast 2015-2020 ($ B, AGR %, CAGR and Cumulative Revenues) Table 3.7: Global IoT Sub-Segment Revenues Forecast 2015-2020 ($ B, AGR % and Cumulative Revenues ) Table 4.1: Regional IoT Revenue Forecast 2015-2020 ($ Billions, AGR%, % Share) Table 4.4: North American Revenue Forecast 2015-2020 ($ Billions, AGR%, Cumulative Revenues) Table 4.7: LATAM IoT Revenue Forecast 2015-2020 ($ Billions, AGR%, Cumulative Revenues) Table 4.10: European IoT Revenue Forecast 2015-2020 ($ Billions, AGR%, Cumulative Revenues) Table 4.13: APAC IoT Revenue Forecast 2015-2020 ($ Billions, AGR%, Cumulative Revenues) Table 4.16: MEA IoT Revenue Forecast 2015-2020 ($ Billions, AGR%, Cumulative Revenues) Table 5.1: Industrial IoT Connections Forecast 2015-2020 (Millions, AGR % and CAGR) Table 5.2: Industrial IoT Connections by Industry Forecast 2015-2020 (Millions, IIoT AGR )Table 5.6: Industrial IoT Revenues Forecast 2015-2020 ($ Billions, AGR %, Cumulative Revenues and CAGR) Table 5.16: Addressable Plants, Assets and Machinery within the Energy Industry 2015 Table 5.22: Addressable Plants, Assets and Machinery within the Manufacturing Industry 2015 Table 5.23: Total Transportation Fleet and Total IoT Connected Fleet Forecast 2015-2020 (Millions, AGR % and CAGR)Table 5.27: Transportation IoT Revenues Forecast 2015-2020 ($ Billions, AGR %, Cumulative Revenues and CAGR) Table 5.53: Smart Home IoT Connections Forecast 2015-2020 (Millions, AGR % and CAGR) Table 5.54: Smart Home IoT Connections Forecast by Segment 2013-2020 (Millions, AGR % and CAGR) Table 5.59: Smart Home IoT Revenues Forecast 2015-2020 ($B, AGR %, Cumulative Revenues and CAGR) Table 5.63: Smartphones Connections Forecast 3G vs. 4G 2013-2020 (Millions, AGR %) Table 5.68: Smart Home Energy & Utilities Connections Forecast Smart Meter vs. Other 2013-2020 (Millions, AGR %) Table 5.72: Medical IoT Connections Forecast 2015-2020 (Millions, AGR % and CAGR) Table 5.77: Most Important Factors Driving Healthcare Costs Up Table 5.79: Medical IoT Revenues Forecast 2015-2020 ($ b, AGR %, Cumulative and CAGR) Table 5.83: Main Healthcare Conditions Related to Different Telemedicine Technologies Table 5.86: Other IoT Connections Forecast 2015-2020 (Millions, AGR % and CAGR) Table 5.90: Other IoT Revenue Forecast 2015-2020 (Millions, AGR %, Cumulative Revenues and CAGR) Table 6.1: Top 10 National IoT Connections Forecast 2015-2020 (Millions, AGR%, % Share) Table 6.3: Chinese IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR) Table 6.6: US IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR) Table 6.9: Japanese IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR) Table 6.12: Indian IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR) Table 6.15: Russian IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR) Table 6.18: German IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR) Table 6.21: Brazilian IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR) Table 6.24: Indonesian IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR) Table 6.27: UK IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR) Table 6.30: South Korean IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR) Table 8.1 AT&T Inc. Company Overview 2015 (Total Revenue 2014, Net Profit, Total Employees, CEO, HQ, Ticker and, Website) Table 8.2: AT&T Total Revenues and Net Income 2008-2014 (Revenues in $b &AGR %) Table 8.4: AT&T M2M Solution, Assets, and Advantages Table 8.5 China Mobile Company Overview 2015 (Total Revenue2014, Total Company Net Income, Employees, CEO, HQ, Ticker and, Website) Table 8.6: China Mobile Total Revenues and Net Income 2008-2014 (Revenues in $b and AGR %) Table 8.8: Sprint M2M Solutions and Leading Verticals Table 8.9 Vodafone Group Plc Overview 2015 (Total Revenue, Net Profit, Employees, CEO, HQ, Ticker, Website) Table 8.10: Vodafone Total Revenues and Net Income 2008-2014 (Revenues in $b & AGR %) Table 8.12: Key Features and Benefits of Vodafone’s M2M Solution Table 8.13: Deutsche Telekom Company 2015 (Total Revenue, Net Profit, ,Total Employees, CEO, HQ, Ticker and, Website) Table 8.14: Deutsche Telekom Total Revenues and Net Income 2008-2014 (Revenues in $b & AGR %) Table 8.16: Deutsche Telekom M2M Solution Table 8.17: Telefónica S.A. Overview 2015 (Total Revenue 2014, Net Profit, Total Employees, CEO, HQ, Ticker and, Website) Table 8.18: Telefónica Total Revenues and Net Income 2008-2014 (Revenues in $b and AGR %) Table 8.20 Verizon Communications Overview 2015 (Total Revenue 2014, Net Profit, Total Employees, CEO, HQ, Ticker and, Website) Table 8.21: Verizon Total Revenues and Net Income 2008-2014 (Revenues in $b and AGR %) Table 8.22: Verizon’s M2M Solutions Table 8.23: Orange Overview 2015 (Total Revenue2014, Employees, CEO, HQ, Ticker, Contact, Website) Table 8.24: Total Revenues and Net Income 2008-2014 (Revenues in $b and AGR %) Table 8.26: Orange M2M Core Offerings Table 8.27: Orange M2M Use Cases Table 8.28: Sprint Corporation Overview 2015 (Total Revenue 2014, Net Profit, Total Employees, CEO, HQ, Ticker and, Website) Table 8.29: Sprint Total Revenues and Net Income 2008-2014 (Revenues in $b and AGR %) Table 8.31: Sprint M2M Solutions and Leading Verticals Table 8.32: Kore Telematics Overview 2015 (Total Revenue 2014 $b, Total M2M Subscriptions M, Global M2M Subscriptions Share %, Employees, CEO, HQ, Website) Table 8.33: KORE Telematics M2M Connectivity Services Table 8.34: NTT DoCoMo Overview 2015 (Total Revenue 2014 $b, Net Profit, Total Employees, CEO, HQ, Ticker and, Website) Table 8.35: DoCoMo Total Revenues and Net Income 2009-2014 (Revenues in $b & AGR %) Table 8.37: NTT DoCoMo M2M Offerings Table 8.38: Telecom Italia SpA Telecommunications Company Overview 2015 (Total Revenue 2014 $b, Net Profit, Total Employees, CEO, HQ, Ticker and, Website) Table 8.39: Telecom Italia SpA Telecommunications Total Revenues and Net Income 2009-2014 (Revenues in $b and AGR %) Chart 8.40: Telecom Italia SpA Total Revenues and Net Income 2009-2014 (Revenues in $b and AGR %) Table 8.43: SIMCom M2M Use Cases Table 8.44: Numerex Company Overview 2015 (Total Revenue 2014 m, Net Profit m, , Total Employees, CEO, HQ, Ticker and, Website) Table 8.45 iMetrik M2M Services Table 8.46 iMetrik -PROTECT Table 8.47: IBM Company Overview 2015 (Total Revenue, Revenue from Internet of Things, % Revenue From Internet of Things, Global Market Share %, HQ, Ticker, Contact, Website) Table 8.49: IBM Adept Performance Management Solution Focus Areas Table 8.50: GE Company Overview 2015 (Total Revenue, , Global Market Share %, HQ, Ticker, Contact, Website) Table 8.51: Microsoft Company Overview 2015 (Total Revenue, Revenue from Internet of Things, % Revenue From Internet of Things, Global Market Share %, HQ, Ticker, Contact, Website) Table 8.53: Windows Embedded Product Portfolio Table 8.54: Google Company Overview 2015 (Total Revenue, HQ, Ticker, Contact, Website) Table 8.55: Apple Company Overview 2015 (Total Revenue, HQ, Ticker, Contact, Website) Table 8.56: Cisco Company Overview 2015 (Total Revenue, Revenue from Internet of Things, % Revenue From Internet of Things, Global Market Share %, HQ, Ticker, Contact, Website) Table 8.57: Other Leading Companies in the M2M Market 2015 (Company, Product /service) ------------------------------------------------------------ List of Figures Figure 1.1: Internet of Things Market Segmentation Figure 2.2: IoT Value Chain Figure 8.48: IBM MessageSight System Figure 8.52: Microsoft Azure Intelligent Systems ------------------------------------------------------------ List of Charts Chart 3.3: Global IoT Connections Sub-Segment Share 2015-2018-2020 (% of Total Connections) Chart 3.4: Global IoT Connections Sub-Segment Forecast 2015-2020 (Billions, Total IoT AGR % ) Chart 3.5: IoT AGR% for Connections Sub-Segment Forecast 2015-2020 (AGR %) Chart 3.8: Global IoT Sub-Segment Revenues 2015-2018-2020 (% of Total Revenues) Chart 3.9: Global IoT Sub-Segment Revenues Forecast 2015-2020 ($ B, Total IoT AGR % ) Chart 3.10: IoT Revenue AGR% Sub-Segment Forecast 2015-2020 (AGR %) Chart 4.2: Regional IoT Revenue Forecast 2015-2020 ($ Billions, Global AGR %) Chart 4.3: Regional IoT Revenue Share 2015-2018-2020 (%) Chart 4.5: North American Revenue Forecast 2015-2020 ($ Billions, AGR%) Chart 4.6: North American Revenue Share of Global IoT 2015-2018-2020 (% Share) Chart 4.8: LATAM IoT Revenue Forecast 2015-2020 ($ Billions, AGR%) Chart 4.9: LATAM Revenue Share of Global IoT 2015-2018-2020 (% Share) Chart 4.11: European IoT Revenue Forecast 2015-2020 ($ Billions, AGR%) Chart 4.12: European Revenue Share of Global IoT 2015-2018-2020 (% Share) Chart 4.14: APAC IoT Revenue Forecast 2015-2020 ($ Billions, AGR%) Chart 4.15: APAC Revenue Share of Global IoT 2015-2018-2020 (% Share) Chart 4.17: MEA IoT Revenue Forecast 2015-2020 ($ Billions, AGR%) Chart 4.18: MEA Revenue Share of Global IoT 2015-2018-2020 (% Share) Chart 5.3: Industrial IoT Connections by Industry Forecast 2015-2020 (% ) Chart 5.4: Industrial IoT Connections Forecast by Industry 2015-2020 (Millions, AGR %) Chart 5.5: Industrial IoT Share of Total IoT Connections 2015-2018-2020 (%) Chart 5.7: Industrial IoT Revenues Forecast 2015-2020 ($ Billions, AGR %) Chart 5.8: Industrial IoT Share of Total IoT Revenues 2015-2018-2020 (%) Chart 5.9: Total Number of Connections Within The Agricultural Industry Forecast By Technology 2015-2020 (Millions, AGR %) Chart 5.10: Breakdown of Total Number of Connections Within The Agricultural Industry 2015-2018-2020 (%) Chart 5.11: Share of Top 10 Countries Within the Global Dairy Cows Market 2015 (% of Total Dairy Cows) Chart 5.12: Share of Top 6 Countries Within the Global Cattle Market 2015(% of Total Global Cattle) Chart 5.13: Share of farms by Regional and Socio-Economic Breakdown (% of Global Farms) Chart 5.14: Agriculture Share of Industrial IoT Connections 2015-2018-2020 (%) Chart 5.15: Energy Share of Industrial IoT Connections 2015-2018-2020 (%) Chart 5.16: Total Industrial IoT Connections within the Energy Industry Forecast 2015-2020(Millions, Total Industrial IoT AGR%, Oil & Energy AGR % Chart 5.18: Retail Share of Industrial IoT Connections 2015-2018-2020 (%) Chart 5.19: Industrial IoT Connections Within Retail Forecast by Application 2015-2020 (Millions, AGR %) Chart 5.20: Industrial IoT Connections Within Retail Forecast by Application 2015-2018-2020 ( Chart 5.21: Total Industrial IoT Connections within the Manufacturing Industry Forecast 2015-2020 (Millions, Total IIoT AGR%, Manufacturing AGR % Chart 5.24: Total Transportation & Total Connected Fleet Forecast 2015-2020 (Millions, AGR %) Chart 5.25: Transportation IoT Connections Breakdown Forecast 2015-2020 (Millions, AGR %) Chart 5.26: Transportation Share of Total IoT Connections 2015-2018-2020 (%) Chart 5.28: Transportation IoT Revenues by Transportation Type Forecast 2015-2020 ($ billions)) Chart 5.29: Transportation IoT Revenues by Transport Type Forecast 2015-2018-2020 (% Share) Chart 5.30: Transportation Share of Total IoT Revenues 2015-2018-2020 (%) Chart 5.31: Total Number of Active Ships and Container Fleet Forecast 2015-2020 (Ships in 000’s, Containers in Millions) Chart 5.32: Breakdown of Active Ships by Type 2015 (%) Chart 5.33: Breakdown of Active Ships by Type 2015 (000’s) Chart 5.34: Breakdown of Active Containers by Type 2015 (% Share and TEUs Millions) Chart 5.35: Total Number of Maritime Connections and Revenues Forecast 2015-2020 (Connections in Millions, $ B) Chart 5.36: Ships Connected as a Percentage of Total Maritime Connections 2015-2018-2020 (%) Chart 5.37: Connected Sea Fleet Share of Total Transportation IoT Connections 2015-2018-2020 (%) Chart 5.38: Connected Sea Fleet Share of Total Transportation IoT Revenues 2015-2018-2020 (%) Chart 5.39: Total Number of Active Passenger and Commercial Vehicles Forecast 2015-2020 (Millions, AGR) Chart 5.40: Total Number of Connected and Non-Connected Vehicles Forecast 2015-2020 (Millions, AGR) Chart 5.41: Connected Passengers & Commercial Vehicles Share of Total Transportation IoT Connections 2015-2018-2020 (%) Chart 5.42: Global Connected Passengers & Commercial Vehicles Share of Global Connected Cars 2015-2018-2020 (%) Chart 5.43: Connected Passengers vs. Connected Commercial Vehicles Revenue Forecast 2015-2020 ($ B , AGR %) Chart 5.44: Connected Vehicles Forecast Share: Commercial vs. Passenger 2015-2018-2020 ( %) Chart 5.45: Connected Commercial and Passenger Cars Share of Total Transportation IoT Revenues 2015-2018-2020 (%)Chart 5.46: Total Number of Active Aircrafts Forecast 2015-2020 (000’s, AGR%) Chart 5.47: Total Number of Active Aircrafts By Type 2015 (000’s, %) Chart 5.48: Share of Total Active Hours By Type of Aircraft t 2015 (%) Chart 5.49: Total Number of Active Aircraft and Air Transport IoT Connections Forecast 2015-2020 (Aircrafts in 000’s, Connections in Millions) Chart 5.50: Connected Air Fleet as a Share of Total Transportation IoT Connections 2015-2018-2020 (%)Chart 5.51: Total Number of Connected Aircraft Revenues Forecast 2015-2020 ($ Billions, AGR %) Chart 5.52: Connected Aircrafts Share of Total Transportation IoT Revenues 2015-2018-2020 (%) Chart 5.55: Smart Home IoT Connections Forecast 2013-2020 (Millions, AGR %) Chart 5.56: Smart Home Share of Total IoT Connections 2015-2018-2020 (%) Chart 5.57: Smart Home IoT Connections Forecast by Sub-Segment 2013-2020 (Millions) Chart 5.58: Smart Home IoT Connections Forecast by Sub-Segment 2015-2018-2020 (%) Chart 5.60: Smart Home IoT Revenues Forecast 2015-2020 ($B, AGR %) Chart 5.61: Smart Home Share of Total IoT Revenues 2015-2018-2020 (%) Chart 5.62: Smartphones Share of Total Smart Home Connections 2015-2018-2020 (%) Chart 5.64: Smartphone Connections Forecast 3G vs. 4G 2013-2020 (Millions) Chart 5.65: Smartphone Connections Forecast 3G vs. LTE vs. LTE-Advanced 2015-2020 (Millions) Chart 5.66: Smartphone Connections Forecast 3G vs. LTE vs. LTEA 2015-2018-2020 (%) Chart 5.67: Total MNOs Service Revenue Forecast 2015-2020 2G vs. 3G vs. 4G ($ Billions) Chart 5.69: Smart Home Energy & Utilities IoT Connections Forecast 2013-2020 (Millions, AGR %) Chart 5.70: Smart Home Energy & Utilities Connections Forecast Smart Meters vs Other 2013-2020 (Millions, AGR %) Chart 5.71: Global Smart Home Energy & Utilities Share of Total Smart Home Connections , Smart Meters vs. Smart Energy vs. Other 2015-2018-2020 (%)Chart 5.73: Medical IoT Share of Total IoT Connections 2015-2018-2020 (%) Chart 5.74: Medical IoT Connections Forecast 2015-2020 (Millions, AGR %) Chart 5.75: Regional Medical IoT Connections Forecast 2015-2020 (Millions, AGR %) Chart 5.76: Regional Medical IoT Connections Forecast 2015-2018-2020 (%) Chart 5.78: M-Health and Fitness & Activity Trackers Shipments Forecast 2015-2020 (Trackers in Millions, M-Health in Thousands) Chart 5.80: Medical IoT Share of Total IoT Revenues 2015-2018-2020 (%) Chart 5.81: Global Medical IoT Revenues Forecast 2015-2018-2020 (%) Chart 5.82: Telemedicine Revenues Forecast By Sub Segment 2015-2020 ($ B, AGR %) Chart 5.84: Chart 5.84: Telemedicine Revenues Forecast By Healthcare Condition 2015-2018-2020 (%) Chart 5.87: Other IoT Connections Forecast 2015-2020 (Millions, AGR %) Chart 5.88: Other IoT Connections Forecast by Type 2015-2018-2020 (%) Chart 5.89: Others IoT Share of Total IoT Connections 2015-2018-2020 (%) Chart 5.91: Other IoT Revenues Forecast 2015-2020 ($ B, AGR %) Chart 5.92: Other IoT Revenues Forecast by Type 2015-2018-2020 (%) Chart 5.94: Urbanisation Rate Forecast Urban vs. Rural Population 1950-2040 (Billion, Urbanisation Rate %) Chart 5.95: Others IoT Share of Total IoT Revenues 2015-2018-2020 (%) Chart 6.2: Top 10 National IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.4: Chinese IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.5: Chinese Share of Global IoT Connections Forecast 2015-2018-2020 (%) Chart 6.7: US IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.8: US Share of Global IoT Connections Forecast 2015-2018-2020 (%) Chart 6.10: Japanese IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.11: US Share of Global IoT Connections Forecast 2015-2018-2020 (%) Chart 6.13: Indian IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.14: Indian Share of Global IoT Connections Forecast 2015-2018-2020 (%) Chart 6.16: Russian IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.17: Russian Share of Global IoT Connections Forecast 2015-2018-2020 (%) Chart 6.19: German IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.20: Russian Share of Global IoT Connections Forecast 2015-2018-2020 (%) Chart 6.22: Brazilian IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.23: Brazilian Share of Global IoT Connections Forecast 2015-2018-2020 (%) Chart 6.25: Indonesian IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.26: Indonesian Share of Global IoT Connections Forecast 2015-2018-2020 (%) Chart 6.28: UK IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.29: UK Share of Global IoT Connections Forecast 2015-2018-2020 (%) Chart 6.31: South Korean IoT Connections Forecast 2015-2020 (Millions, AGR%) Chart 6.32: South Korean Share of Global IoT Connections Forecast 2015-2018-2020 (%) Chart 8.3: AT&T Total Revenues and Net Income 2008-2014 (Revenues in $b and Net Income AGR %) Chart 8.7: China Mobile Total Revenues and Net Income 2008-2014 (Revenues in $b and Net Income AGR %) Chart 8.15: Deutsche Telekom Total Revenues and Net Income 2008-2014 (Revenues in $b and Net Income AGR %) Chart 8.19: Telefónica Total Revenues and Net Income 2008-2014 (Revenues in $b and Net Income AGR %) Chart 8.21: Verizon Total Revenues and Net Income 2008-2014 (Revenues in $b and Net Income AGR %) Chart 8.25: Orange Total Revenues and Net Income 2008-2014 (Revenues in $b & Net Income AGR%) Chart 8.30: Sprint Total Revenues and Net Income 2008-2014 (Revenues in $b & Net Income AGR %) Chart 8.36: DoCoMo Total Revenues & Net Income 2008-2014 (Revenues in $b & Net Income AGR %) Chart 8.41: Wyless Total M2M Connections 2012-2014 Connections in Millions, AGR %) Chart 8.42: Wyless Total M2M Revenues 2012-2014 ($ Billions, AGR %) -------------------------------------------- Companies Mentioned in this report 7 Layers Adept Enterprise Solutions Aeris Communications Aeroscout AFrame Digital Alcatel-Lucent Alien Technology America Movil Apple Inc Arkessa Arrayent Arrow Electronics AT&T Atos Origin SA Audi Augusta Systems AVIDwireless Axeda Berkeley Varitronics Systems Best Buy Boston Dynamics CalAmp CETECOM China Mobile China Mobile Internet of Things Ltd Cinterion Cisco Systems Claro Americas Clearconnex Coca-Cola Comtrol Connect One Connected Development Coronis CrossBridge Solutions DataOnline DataRemote DeepMind Deutsche Telekom Digi International DigiCore Drive.Cam Dust Networks Echelon eDevice EE EE (Everything Everywhere) ei3 Ember Enfora Ericsson Esprida Etisalat Eurotech Exosite Feeney Wireless Ford Motor Company Fusion Wireless Gemalto General Electrics (GE) General Motors Globalstar Google Honeywell International Huawei Hughes Telematics IBM ILS Technology iMETRIK iMetrik Solutions Inilex Inmarsat Intel Iridium Communications Itron IWOW Janus Remote Communications Jasper Technologies Jasper Wireless Inc Kleiner Perkins Caufield & Byers (KPCB) KORE Telematics KPN Laird Technologies Lantronix Lenovo LG M2M Air M2M Communications M2M DataSmart Marvell MEMSIC Micro Technologies Microchip Technology Microsoft Millenial Net Mobilkom Australia Mocana Morey Motorola MOXA NeoWay Nest Labs Nokia solutions & Networks Norwest Venture Partners Novatel Wireless Inc. nPhase NTT DOCOMO Numerex Omnilink Systems OnStar Optus Business Oracle Orange Business Services (OBS) Orange SA ORBCOMM Palantiri Systems Panasonic Pedigree Technologies Perle Systems Post Luxembourg Group Precidia Technologies Qualcomm Quecklink Wireless Solutions Quectel Red Bend Software RF Code Inc. RF Monolithics Rogers Communications RRE Sagemcom Savi Technology SENA Technologies SensorLogic Sierra Wireless Inc. Sigma Designs SIM Technology Group LTD SIMCom Wireless Solutions Singtel Sixnet SkyTel Sony Sprint Corporation Swisscom Synchronoss Technologies Tech Mahindra Ltd Telcel Telecom Italia Telefonica S.A Telefonica UK Telekom Austria Telenor ASA Telenor Connexion Telenor Objects TeliaSonera Telit Communications Telit Wireless Telstra Telular TELUS Mobility Tendril Networks Texas Instruments ThingMagic TIM TMData T-Mobile Tokyo Electric Power Company (TEPCO) Top Global Tridium Trimble Tyntec ublox u-Blox V2COM Verizon Communications Vimpelcom Vivo Vodafone Group Plc Volkswagen Walsh Wireless WebTech Wireless Wilson Electronics Wipro Wyless Group Xact Technology Xata ZTE Other Organisations Mentioned in this Report Brazilian telecommunications regulator Agência Nacional de Telecomunicações (Anatel) DECC EU Casagras Global M2M Association (GMA) MIT OECD Technology Association of Georgia The Alliance for Telecommunications Industry Solutions (ATIS) of the U.S The Association of Radio Industries and Businesses (ARIB) and the Telecommunication Technology Committee (TTC) of Japan The China Communications Standards Association (CCSA) The European Telecommunications Standards Institute (ETSI) The Telecommunications Industry Association (TIA) of the U.S. The Telecommunications Technology Association (TTA) of Korea ------------------------------------------------------------ Pricing Single User License: Single user copies of this report are available for EUR2249/ USD2699/ GBP1099 Departmental License: Entitles up to 5 individual users to access this report for EUR3599/ USD4499/ GBP2999 (Not suitable for library usage) Site License: Allow your company to have access to this report at one location for EUR5999/ USD7499/ GBP4999 (Suitable for library storage and use) Global License: Have your whole company worldwide to access this information for EUR8399/ USD9999/ GBP6999 ------------------------------------------------------------ Ordering To order this report, contact Peter Turay on: Telephone: +44(0)207 549 0537 or email: peter.turay@vgtelecomreports.com And provide the following information: Report Title: Report License (Single User/Departmental/Site/Global): Name: User Email: Job Title: Company: Invoice Address: Telephone and Fax number: EEC VAT Number (only for E.U.): Please contact me should you have any questions or wish to receive an executive summary of this report. 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Registered Office: BSG House, 230 City Road, London, EC1V 2QY, U.K. Campaign Enterprise Uses Arial Software Technology From owner-freebsd-ppc@freebsd.org Thu Apr 7 03:55:06 2016 Return-Path: Delivered-To: freebsd-ppc@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id A9ABFB061A0; Thu, 7 Apr 2016 03:55:06 +0000 (UTC) (envelope-from seu.aba@gmail.com) Received: from mail-lf0-x241.google.com (mail-lf0-x241.google.com [IPv6:2a00:1450:4010:c07::241]) (using TLSv1.2 with cipher ECDHE-RSA-AES128-GCM-SHA256 (128/128 bits)) (Client CN "smtp.gmail.com", Issuer "Google Internet Authority G2" (verified OK)) by mx1.freebsd.org (Postfix) with ESMTPS id 4EDF11D8F; Thu, 7 Apr 2016 03:55:06 +0000 (UTC) (envelope-from seu.aba@gmail.com) Received: by mail-lf0-x241.google.com with SMTP id e190so6290408lfe.1; Wed, 06 Apr 2016 20:55:06 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to; bh=o0DSxnfdt3CJksCQTLMlpek1zTv3H1IffmjAWaPQ9MA=; b=Xit8v8tMpa57SfBbRCpWn0hHxT1fuViZSGGPZL0t1eAeTa2fqYMTAR5XFv5IdGBXhF pbuPrPT0lfMVcfKnaehj7DQGQnw5JCdavosUEqgnrkhoan/srtiq5t5iCcA0y+Wnuy3a N26VcLNM3Jdujv3jn97prCRu1wY2ZjnQ8uzMxOSnxPelODQJ2tXOGZOpDPMq4+ojJ/ss /oLWqdqVVoe4m67YRI+3mB0dm9ovnt/wDS3Fe0MeDfX7fmmq7k4x0jxv0uOmxg3+EA3K XxYf0DqXimlQz4wyGGf5kqQOvwmbvEAo3umnAGmxX+zBarcAri6vYH6RRBje0IBydYWn Nd2g== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:mime-version:date:message-id:subject:from:to; bh=o0DSxnfdt3CJksCQTLMlpek1zTv3H1IffmjAWaPQ9MA=; b=fTe6kIlpMcEa6FmPEalvAPAuRIoJshB8qG2hj2+UUKyZ9VahNqv281IxVcXEQHyuqf GhgYs4Le9bO2VgNhXCGmV6kdjfchEqSWBxfwjysC3zLrV2pVeAyo60h8TaPzyHxO3z6i vgRr/sGpupN4fM4MyUSF1fs77g0X1OR6tLsclwU1pYYr4bGLpLnByp8FP5BHLvKwgnEU LjisIA1xpxay3KOi2uazhZU0uFy7e8bTpfMDUCaaNNs+/h6zN1iAYIw1vhLvFqXalAxi RBnilo6O+hr49ZuNEJfCCcPb4+LmdZNGbaVLeJuCn06Sh4ohPZ01zppIKi5BI0FZyf50 i7VQ== X-Gm-Message-State: AD7BkJJRG5ZBkVG+w9yEf2gQg2GYqNU5iew7Fgl/pBJLeDYmfO0hFZVYDFMKuFE0BdUcvVT+WsKvmKAfNcPNFA== MIME-Version: 1.0 X-Received: by 10.25.160.10 with SMTP id j10mr309019lfe.31.1460001303417; Wed, 06 Apr 2016 20:55:03 -0700 (PDT) Received: by 10.25.136.133 with HTTP; Wed, 6 Apr 2016 20:55:03 -0700 (PDT) Date: Wed, 6 Apr 2016 23:55:03 -0400 Message-ID: Subject: So, what I have read and seen From: Seu Aba To: freebsd-hackers@freebsd.org, freebsd-desktop@freebsd.org, freebsd-current@freebsd.org, freebsd-ppc@freebsd.org, freebsd-questions@freebsd.org, info@freebsd.org, dru@freebsd.org Content-Type: text/plain; charset=UTF-8 X-Content-Filtered-By: Mailman/MimeDel 2.1.21 X-BeenThere: freebsd-ppc@freebsd.org X-Mailman-Version: 2.1.21 Precedence: list List-Id: Porting FreeBSD to the PowerPC List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 07 Apr 2016 03:55:06 -0000 Is that the lot of you have treated a homeless man with disrespect simply because he was open and honest about what goes on in his life. I have also read about his ideas and they make perfect sense to me. Aiding and assisting the blind while standing up for others is not a bad thing. The reaction he received from most of you borders on harassment which is illegal in a lot of places. He did not ask any of you for anything and refused both money and help to prove his honesty. Not only that, but, you allow someone known for being rude to convince you that the man did wrong without bothering to gather any other information. If you are not aware of the rudeness and social manipulation of deRaadt, you need to rethink things through. More than one person left OpenBSD because of his lack of respect. It also seems that David Wolfskill - one of the info@freebsd members, had treated this homeless man with disrespect. There is something seriously wrong with all of you to treat such a person with disdain and disrespect. Don't say shit. This man received news that his mother was raped and beat and some of you make jokes about that situation. What in the fuck is wrong with you people? What if that happened to your mother or sister or wife or daughter? How would you handle the situation? Don't say a fucking thing. All of you owe that man an apology. From owner-freebsd-ppc@freebsd.org Thu Apr 7 04:12:53 2016 Return-Path: Delivered-To: freebsd-ppc@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id E796CB068AF; Thu, 7 Apr 2016 04:12:53 +0000 (UTC) (envelope-from rutledge.50@gmail.com) Received: from mail-ig0-x244.google.com (mail-ig0-x244.google.com [IPv6:2607:f8b0:4001:c05::244]) (using TLSv1.2 with cipher ECDHE-RSA-AES128-GCM-SHA256 (128/128 bits)) (Client CN "smtp.gmail.com", Issuer "Google Internet Authority G2" (verified OK)) by mx1.freebsd.org (Postfix) with ESMTPS id B12CF17CF; Thu, 7 Apr 2016 04:12:53 +0000 (UTC) (envelope-from rutledge.50@gmail.com) Received: by mail-ig0-x244.google.com with SMTP id nt3so10386195igb.0; Wed, 06 Apr 2016 21:12:53 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc; bh=bYmR06k6SPjQvGpmNkHLXwcgBPgLnsq15zdaWYMvflo=; b=fECIdVVO/h3htoOc+ZTpm4/qpv8gdiKMZHfl/b0P9esRIRCrtVS7ri9r1Tw1NED9pK VviqFxABcAo0AFap4NPfLtBulaSCa8Nci2UG0cD5jnyfVK/nsg+zsPY4Zk+iOQRj6t9z m1fYWVKCwK24V7cbtWWzx/222o2IsHfN8hl+D9ZtfWJO3rQd/xuu1Me53bM7VFRdTHB9 PziRdgByY+1qBwJDrHlrHHFT1wXQlP7TobEq8d5EGBn2BVRsw/NYnDRJFdQGglcdp38M fUPBvcEPGu1uAJSvUMMrrN2hVPenbRYghs9xqCLleRO16UZP2DzHoaHRZ7D8CIX9NjKf k9DQ== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:mime-version:in-reply-to:references:date :message-id:subject:from:to:cc; bh=bYmR06k6SPjQvGpmNkHLXwcgBPgLnsq15zdaWYMvflo=; b=aaE2awpuGkSOyZ0MXRz/iKa53/TLn8AAkaO67jOmcX9x4cc13f5vleyxtnXFfsI2Tb NRaJfujOltFpUKMfIXMcIMaTmxGGEUf0mNTrNryKUExyQ1sLOm5PjbMuIuQkyYSq7xqY nTiFKAkbEDS7jgrNz9JCkZSGWkH57LlJPg6pSAa0x9v00a6zdijZ3uTsbtqZSWgOpmZM JoAShe0gzJ4a2CnI3ii+JKY0CQMfMXQqRUTFSLkMmBd55cc7MIVUi/AUsXU1+HfWWbSu ylKdPU/5+hOHow3hs4XiBeB93TXlHyQfeIs985i2KqZ0XBiOiKH6wFQmkLVEpntunyYA tieA== X-Gm-Message-State: AD7BkJLqf6ixPyKtv5V+vxv2kif60hdVM3mg+yeQHTtXgDJl8NcTrUvwgjVHI6365jvWpSxeZesQ4tME5ohyxA== MIME-Version: 1.0 X-Received: by 10.50.50.74 with SMTP id a10mr27281831igo.87.1460002373145; Wed, 06 Apr 2016 21:12:53 -0700 (PDT) Received: by 10.36.202.71 with HTTP; Wed, 6 Apr 2016 21:12:52 -0700 (PDT) Received: by 10.36.202.71 with HTTP; Wed, 6 Apr 2016 21:12:52 -0700 (PDT) In-Reply-To: References: Date: Wed, 6 Apr 2016 23:12:52 -0500 Message-ID: Subject: Re: So, what I have read and seen From: ld so To: Seu Aba Cc: freebsd-questions@freebsd.org, dru@freebsd.org, info@freebsd.org, freebsd-ppc@freebsd.org, freebsd-desktop@freebsd.org, freebsd-current@freebsd.org, freebsd-hackers@freebsd.org Content-Type: text/plain; charset=UTF-8 X-Content-Filtered-By: Mailman/MimeDel 2.1.21 X-BeenThere: freebsd-ppc@freebsd.org X-Mailman-Version: 2.1.21 Precedence: list List-Id: Porting FreeBSD to the PowerPC List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 07 Apr 2016 04:12:54 -0000 Fucking A brother !! That's an enthusiastic aphorism :) On Apr 6, 2016 10:55 PM, "Seu Aba" wrote: > Is that the lot of you have treated a homeless man with disrespect simply > because he was open and honest about what goes on in his life. > I have also read about his ideas and they make perfect sense to me. Aiding > and assisting the blind while standing up for others is not a bad thing. > The reaction he received from most of you borders on harassment which is > illegal in a lot of places. > He did not ask any of you for anything and refused both money and help to > prove his honesty. > Not only that, but, you allow someone known for being rude to convince you > that the man did wrong without bothering to gather any other information. > If you are not aware of the rudeness and social manipulation of deRaadt, > you need to rethink things through. More than one person left OpenBSD > because of his lack of respect. > It also seems that David Wolfskill - one of the info@freebsd members, had > treated this homeless man with disrespect. > > There is something seriously wrong with all of you to treat such a person > with disdain and disrespect. > > Don't say shit. > > This man received news that his mother was raped and beat and some of you > make jokes about that situation. > > What in the fuck is wrong with you people? > > What if that happened to your mother > or sister > or wife > or daughter? > How would you handle the situation? > > Don't say a fucking thing. > > All of you owe that man an apology. > _______________________________________________ > freebsd-current@freebsd.org mailing list > https://lists.freebsd.org/mailman/listinfo/freebsd-current > To unsubscribe, send any mail to "freebsd-current-unsubscribe@freebsd.org" >