Intelligent Reasoning on External Events for Network Management
draft-pedro-nmrg-intelligent-reasoning-00

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NMRG                                              P. Martinez-Julia, Ed.
Internet-Draft                                                      NICT
Updates: draft-pedro-nmrg-anticipated-                     July 08, 2019
         adaptation-02 (if approved)
Intended status: Informational
Expires: January 9, 2020

    Intelligent Reasoning on External Events for Network Management
               draft-pedro-nmrg-intelligent-reasoning-00

Abstract

   The adoption of AI in network management solutions is becoming a
   reality.  It is mainly supported by the need to resolve complex
   problems arisen from the acceptance of SDN/NFV technologies as well
   as network slicing.  This allows current computer and network system
   infrastructures to constantly grow in complexity, in parallel to the
   demands of users.  However, exploiting the possibilities of AI is not
   an easy task.  There has been a lot of effort to make Machine
   Learning (ML) solutions reliable and acceptable but, at the same
   time, other mechanisms have been forgotten.  It is the particular
   case of reasonsing.  Although it can provide enormous benefits to
   management solutions by, for example, infering new knowledge and
   applying differnet kind of rules (eg.g logical) to choose from
   several actions, it has received little attention.  While ML
   solutions work with data, so their only requirement from the network
   infrastructure is data retrieval, reasoning solutions work in
   collaboration to the network they are managing.  This makes the
   challenges arisen from intelligent reasoning to be a key for the
   evolution of network management towards the full adoption of AI.

Status of This Memo

   This Internet-Draft is submitted in full conformance with the
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   This Internet-Draft will expire on January 9, 2020.

Martinez-Julia           Expires January 9, 2020                [Page 1]
Internet-Draft  Ingelligent Reasoning on External Events       July 2019

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   3
   2.  Terminology . . . . . . . . . . . . . . . . . . . . . . . . .   4
   3.  Background  . . . . . . . . . . . . . . . . . . . . . . . . .   4
     3.1.  Virtual Computer and Network Systems  . . . . . . . . . .   4
     3.2.  SDN and NFV . . . . . . . . . . . . . . . . . . . . . . .   4
     3.3.  Management and Control  . . . . . . . . . . . . . . . . .   5
   4.  Applying AI to Network Management . . . . . . . . . . . . . .   5
     4.1.  Beyond Machine Learning . . . . . . . . . . . . . . . . .   5
     4.2.  Briefing Artificial Intelligence  . . . . . . . . . . . .   5
     4.3.  Exploiting AI . . . . . . . . . . . . . . . . . . . . . .   6
     4.4.  External Event Detectors  . . . . . . . . . . . . . . . .   7
     4.5.  Network Requirement Anticipation  . . . . . . . . . . . .   7
     4.6.  Intelligent Reasoning . . . . . . . . . . . . . . . . . .   9
     4.7.  Gaps and Standardization Issues . . . . . . . . . . . . .  10
   5.  Relation to Other IETF/IRTF Initiatives . . . . . . . . . . .  10
   6.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  10
   7.  Security Considerations . . . . . . . . . . . . . . . . . . .  10
   8.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .  11
   9.  References  . . . . . . . . . . . . . . . . . . . . . . . . .  11
     9.1.  Normative References  . . . . . . . . . . . . . . . . . .  11
     9.2.  Informative References  . . . . . . . . . . . . . . . . .  11
   Appendix A.  Information Model to Support Reasoning on External
                Events . . . . . . . . . . . . . . . . . . . . . . .  12
     A.1.  Tree Structure  . . . . . . . . . . . . . . . . . . . . .  12
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