IETF Logo Mail Archive

[Nmlrg] Machine Learning in network - solicitation for use cases

Sheng Jiang <jiangsheng@huawei.com> Mon, 31 August 2015 03:17 UTC

Return-Path: <jiangsheng@huawei.com>
X-Original-To: nmlrg@ietfa.amsl.com
Delivered-To: nmlrg@ietfa.amsl.com
Received: from localhost (ietfa.amsl.com [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 078011A19F2 for <nmlrg@ietfa.amsl.com>; Sun, 30 Aug 2015 20:17:59 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.811
X-Spam-Level:
X-Spam-Status: No, score=-2.811 tagged_above=-999 required=5 tests=[BAYES_05=-0.5, RCVD_IN_DNSWL_MED=-2.3, SPF_PASS=-0.001, T_RP_MATCHES_RCVD=-0.01] 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 Gby5Q2OYAuAB for <nmlrg@ietfa.amsl.com>; Sun, 30 Aug 2015 20:17:57 -0700 (PDT)
Received: from dfwrgout.huawei.com (dfwrgout.huawei.com [206.16.17.72]) (using TLSv1 with cipher RC4-SHA (128/128 bits)) (No client certificate requested) by ietfa.amsl.com (Postfix) with ESMTPS id 03B441A88B3 for <nmlrg@irtf.org>; Sun, 30 Aug 2015 20:17:56 -0700 (PDT)
Received: from 172.18.9.243 (EHLO nkgeml406-hub.china.huawei.com) ([172.18.9.243]) by dfwrg02-dlp.huawei.com (MOS 4.3.7-GA FastPath queued) with ESMTP id BHQ23562; Sun, 30 Aug 2015 22:17:55 -0500 (CDT)
Received: from NKGEML512-MBX.china.huawei.com ([169.254.7.33]) by nkgeml406-hub.china.huawei.com ([10.98.56.37]) with mapi id 14.03.0235.001; Mon, 31 Aug 2015 11:15:47 +0800
From: Sheng Jiang <jiangsheng@huawei.com>
To: "nmlrg@irtf.org" <nmlrg@irtf.org>
Thread-Topic: Machine Learning in network - solicitation for use cases
Thread-Index: AdDjmyqcBYGW/oG2RQurcvQ8aGxCog==
Date: Mon, 31 Aug 2015 03:15:46 +0000
Message-ID: <5D36713D8A4E7348A7E10DF7437A4B927BB2962B@nkgeml512-mbx.china.huawei.com>
Accept-Language: en-GB, zh-CN, en-US
Content-Language: zh-CN
X-MS-Has-Attach:
X-MS-TNEF-Correlator:
x-originating-ip: [10.111.99.197]
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: base64
MIME-Version: 1.0
X-CFilter-Loop: Reflected
Archived-At: <http://mailarchive.ietf.org/arch/msg/nmlrg/EcSyQ-iH7WR08vM6VCVk-pZ3hwc>
Subject: [Nmlrg] Machine Learning in network - solicitation for use cases
X-BeenThere: nmlrg@irtf.org
X-Mailman-Version: 2.1.15
Precedence: list
List-Id: Network Machine Learning Research Group <nmlrg.irtf.org>
List-Unsubscribe: <https://www.irtf.org/mailman/options/nmlrg>, <mailto:nmlrg-request@irtf.org?subject=unsubscribe>
List-Archive: <https://mailarchive.ietf.org/arch/browse/nmlrg/>
List-Post: <mailto:nmlrg@irtf.org>
List-Help: <mailto:nmlrg-request@irtf.org?subject=help>
List-Subscribe: <https://www.irtf.org/mailman/listinfo/nmlrg>, <mailto:nmlrg-request@irtf.org?subject=subscribe>
X-List-Received-Date: Mon, 31 Aug 2015 03:17:59 -0000

Hi, all,

Thanks for subscribe to NMLRG (Network Machine Learning) mail list. As we know, there are already many ongoing researches for Machine Learning in network, in many areas. But up to now, there are few matured applications yet. So it is the time for a Research Group to work on this future-oriented technology.

The first step would be to collect possible use cases: where the machine learning mechanism could be used in networks. The use cases does not need to be mature, but should have potential.

Note that this topic is rapidly moving from academic research into practical application. Therefore, use cases from university environments, industrial research and development organizations are all welcome.

Best regards,

Sheng

v2.8.7 | Report a Bug | By Email