An Architecture of Network Artificial Intelligence(NAI)
draft-li-rtgwg-network-ai-arch-00

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Network Working Group                                              Z. Li
Internet-Draft                                                  J. Zhang
Intended status: Informational                       Huawei Technologies
Expires: May 4, 2017                                    October 31, 2016

        An Architecture of Network Artificial Intelligence(NAI)
                   draft-li-rtgwg-network-ai-arch-00

Abstract

   Artificial intelligence is an important technical trend in the
   industry.  With the development of network, it is necessary to
   introduce artificial intelligence technology to achieve self-
   adjustment, self- optimization, self-recovery of the network through
   collection of huge data of network state and machine learning.  This
   draft defines the architecture of Network Artificial Intelligence
   (NAI), including the key components and the key protocol extension
   requirements.

Requirements Language

   The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
   "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
   document are to be interpreted as described inRFC 2119 [RFC2119]

Status of This Memo

   This Internet-Draft is submitted in full conformance with the
   provisions of BCP 78 and BCP 79.

   Internet-Drafts are working documents of the Internet Engineering
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   This Internet-Draft will expire on May 4, 2017.

Copyright Notice

   Copyright (c) 2016 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

Li & Zhang                 Expires May 4, 2017                  [Page 1]
Internet-Draft           An Architecture of NAI             October 2016

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
   2.  Terminology . . . . . . . . . . . . . . . . . . . . . . . . .   3
   3.  Architecture  . . . . . . . . . . . . . . . . . . . . . . . .   3
     3.1.  Reference Model . . . . . . . . . . . . . . . . . . . . .   3
     3.2.  Requirement of Protocol Extensions  . . . . . . . . . . .   4
   4.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .   5
   5.  Security Considerations . . . . . . . . . . . . . . . . . . .   5
   6.  Normative References  . . . . . . . . . . . . . . . . . . . .   5
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .   5

1.  Introduction

   Artificial Intelligence is an important technical trend in the
   industry.  The two key aspects of Artificial Intelligence are
   perception and cognition.  Artificial Intelligence has evolved from
   an early non-learning expert system to a learning-capable machine
   learning era.  In recent years, the rapid development of the deep
   learning branch based on the neural network and the maturity of the
   big data technology and software distributed architecture make the
   Artificial Intelligence in many fields (such as transportation,
   medical treatment, education, etc.) have been applied.  With the
   development of network, it is necessary to introduce artificial
   intelligence technology to achieve self-adjustment, self-
   optimization, self-recovery of the network through collection of huge
   data of network state and machine learning.  The areas of machine
   learning which are easier to be used in the network field may
   include: troubleshooting of network problems, network traffic
   prediction, traffic optimization adjustment, security defense,
   security auditing, etc., to implement network perception and
   cognition.

   This draft defines the architecture of Network Artificial
   Intelligence (NAI), including the key components and the key protocol
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