
From ietf-secretariat@ietf.org  Wed Nov 13 13:43:57 2013
Return-Path: <ietf-secretariat@ietf.org>
X-Original-To: scale@ietfa.amsl.com
Delivered-To: scale@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 5361D21F9B28; Wed, 13 Nov 2013 13:43:57 -0800 (PST)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.543
X-Spam-Level: 
X-Spam-Status: No, score=-103.543 tagged_above=-999 required=5 tests=[AWL=-0.943, BAYES_00=-2.599, NO_RELAYS=-0.001, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id qAewEcLSn0wr; Wed, 13 Nov 2013 13:43:56 -0800 (PST)
Received: from ietfa.amsl.com (localhost [IPv6:::1]) by ietfa.amsl.com (Postfix) with ESMTP id E5CDB21F8424; Wed, 13 Nov 2013 13:43:56 -0800 (PST)
MIME-Version: 1.0
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: quoted-printable
From: IETF Secretariat <ietf-secretariat@ietf.org>
To: IETF Announcement List <ietf-announce@ietf.org>
X-Test-IDTracker: no
X-IETF-IDTracker: 4.83
Auto-Submitted: auto-generated
Precedence: bulk
Message-ID: <20131113214356.27918.13027.idtracker@ietfa.amsl.com>
Date: Wed, 13 Nov 2013 13:43:56 -0800
Cc: adrian@olddog.co.uk, scale@ietf.org, loa@pi.nu
Subject: [scale] New Non-WG Mailing List: scale -- MPLS VPN Scaling
X-BeenThere: scale@ietf.org
X-Mailman-Version: 2.1.12
Reply-To: ietf@ietf.org
List-Id: MPLS VPN Scaling <scale.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/scale>, <mailto:scale-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/scale>
List-Post: <mailto:scale@ietf.org>
List-Help: <mailto:scale-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/scale>, <mailto:scale-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 13 Nov 2013 21:43:57 -0000

A new IETF non-working group email list has been created.

List address: scale@ietf.org
Archive: http://www.ietf.org/mail-archive/web/scale/
To subscribe: https://www.ietf.org/mailman/listinfo/scale

Purpose: This mailing list is to facilitate identification of the critical =
scaling issues for MPLS VPNs. The list will also be used for discussions to=
 help in preparing a non-Working Group forming BoF on this topic at the IET=
F 89 in London. =


For additional information, please contact the list administrators.

From loa@pi.nu  Wed Nov 27 18:53:52 2013
Return-Path: <loa@pi.nu>
X-Original-To: scale@ietfa.amsl.com
Delivered-To: scale@ietfa.amsl.com
Received: from localhost (ietfa.amsl.com [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 110991AE051 for <scale@ietfa.amsl.com>; Wed, 27 Nov 2013 18:53:52 -0800 (PST)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -1.901
X-Spam-Level: 
X-Spam-Status: No, score=-1.901 tagged_above=-999 required=5 tests=[BAYES_00=-1.9, RP_MATCHES_RCVD=-0.001] autolearn=ham
Received: from mail.ietf.org ([4.31.198.44]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id mbtVk5p-wZTt for <scale@ietfa.amsl.com>; Wed, 27 Nov 2013 18:53:49 -0800 (PST)
Received: from pipi.pi.nu (pipi.pi.nu [83.168.239.141]) by ietfa.amsl.com (Postfix) with ESMTP id 6E37E1AE0E8 for <scale@ietf.org>; Wed, 27 Nov 2013 18:53:48 -0800 (PST)
Received: from [192.168.1.12] (unknown [112.208.94.158]) (using TLSv1 with cipher ECDHE-RSA-AES256-SHA (256/256 bits)) (No client certificate requested) (Authenticated sender: loa@pi.nu) by pipi.pi.nu (Postfix) with ESMTPSA id 988BD18014F6; Thu, 28 Nov 2013 03:53:43 +0100 (CET)
Message-ID: <5296B02C.5090205@pi.nu>
Date: Thu, 28 Nov 2013 10:53:32 +0800
From: Loa Andersson <loa@pi.nu>
User-Agent: Mozilla/5.0 (Windows NT 6.2; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.1.1
MIME-Version: 1.0
To: scale@ietf.org, Lou Berger <lberger@labn.net>, Loa Andersson <loa@pi.nu>, Vero Zheng <vero.zheng@huawei.com>
Content-Type: multipart/mixed; boundary="------------070405090402090408030708"
Subject: [scale] Welcome to the MPLS VPN Scaling BoF preparation work
X-BeenThere: scale@ietf.org
X-Mailman-Version: 2.1.15
Precedence: list
List-Id: MPLS VPN Scaling <scale.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/scale>, <mailto:scale-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/scale/>
List-Post: <mailto:scale@ietf.org>
List-Help: <mailto:scale-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/scale>, <mailto:scale-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 28 Nov 2013 02:53:52 -0000

This is a multi-part message in MIME format.
--------------070405090402090408030708
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit

Folks,

This mail is to kick of the work to prepare the BoF in London.

We don't yet have the formal approval of the BoF, but hope that is only
a matter or time.

We're resending the slightly updated slides we presented in Vancouver.
Mostly I marked the ID's where someone said something along the line
"is this really about scaling".
If we will continue to work on these slides they they will need a
make-over, included here for information.

I've updated slide 2 mentioning number of pairwise associations and
the management and configuration aspects.

We will need to converge on a problem statement, a tentative starting
point would be slide 2. We will need to help to create the problem
statement.

We suggest the following procedure - anyone that has text to describe
the problem send this text to the mailing list for discussion, as the
text stabilizes will find a web server where we can place it. Vero will
do the editing job. As we are getting closer to the London meeting we
might chose to publish the problem statement.

The slides also have an outline of the BoF agenda, we are planing on
three topics/discussions with the first being the problem statement. The
format will be that we have an introduction by a discussion leader on a
subject that we agree on.  We'd also like input on these sent to the
list, or published as a draft.  The time for each discussion will be
approximately 30 min, split equally between introduction and discussion.

/Loa and Lou

-- 


Loa Andersson                        email: loa@mail01.huawei.com
Senior MPLS Expert                          loa@pi.nu
Huawei Technologies (consultant)     phone: +46 739 81 21 64

--------------070405090402090408030708
Content-Type: application/vnd.openxmlformats-officedocument.presentationml.presentation;
 name="non-wg-forming-bof-pa5.pptx"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
 filename="non-wg-forming-bof-pa5.pptx"
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--------------070405090402090408030708--

From loa@pi.nu  Thu Nov 28 18:45:37 2013
Return-Path: <loa@pi.nu>
X-Original-To: scale@ietfa.amsl.com
Delivered-To: scale@ietfa.amsl.com
Received: from localhost (ietfa.amsl.com [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 38AB61AE097 for <scale@ietfa.amsl.com>; Thu, 28 Nov 2013 18:45:37 -0800 (PST)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -1.901
X-Spam-Level: 
X-Spam-Status: No, score=-1.901 tagged_above=-999 required=5 tests=[BAYES_00=-1.9, RP_MATCHES_RCVD=-0.001] autolearn=ham
Received: from mail.ietf.org ([4.31.198.44]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id ulhmS-y6UQDe for <scale@ietfa.amsl.com>; Thu, 28 Nov 2013 18:45:35 -0800 (PST)
Received: from pipi.pi.nu (pipi.pi.nu [83.168.239.141]) by ietfa.amsl.com (Postfix) with ESMTP id E53271AC82B for <scale@ietf.org>; Thu, 28 Nov 2013 18:45:34 -0800 (PST)
Received: from [192.168.1.12] (unknown [112.208.94.158]) (using TLSv1 with cipher ECDHE-RSA-AES256-SHA (256/256 bits)) (No client certificate requested) (Authenticated sender: loa@pi.nu) by pipi.pi.nu (Postfix) with ESMTPSA id CACD91802038; Fri, 29 Nov 2013 03:45:29 +0100 (CET)
Message-ID: <5297FFC2.4020305@pi.nu>
Date: Fri, 29 Nov 2013 10:45:22 +0800
From: Loa Andersson <loa@pi.nu>
User-Agent: Mozilla/5.0 (Windows NT 6.2; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.1.1
MIME-Version: 1.0
To: scale@ietf.org
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Cc: Lou Berger <lberger@labn.net>, Vero Zheng <vero.zheng@huawei.com>, Loa Andersson <loa@pi.nu>
Subject: [scale] updated slides in progrss
X-BeenThere: scale@ietf.org
X-Mailman-Version: 2.1.15
Precedence: list
List-Id: MPLS VPN Scaling <scale.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/scale>, <mailto:scale-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/scale/>
List-Post: <mailto:scale@ietf.org>
List-Help: <mailto:scale-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/scale>, <mailto:scale-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 29 Nov 2013 02:45:37 -0000

All,

We expected to have a substantially revised version of the slides out
early next week. In the interim, you may find
http://tools.ietf.org/html/draft-gs-vpn-scaling-02 helpful when staring
to think about the problem statement.

Loa and Lou

-- 


Loa Andersson                        email: loa@mail01.huawei.com
Senior MPLS Expert                          loa@pi.nu
Huawei Technologies (consultant)     phone: +46 739 81 21 64
