Intelligent Reasoning on External Events for Network Management
draft-pedro-nmrg-intelligent-reasoning-01

Document Type Expired Internet-Draft (individual)
Authors Pedro Martinez-Julia  , Shunsuke Homma 
Last updated 2020-09-07 (latest revision 2020-03-06)
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This Internet-Draft is no longer active. A copy of the expired Internet-Draft can be found at
https://www.ietf.org/archive/id/draft-pedro-nmrg-intelligent-reasoning-01.txt

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 reasoning. Although it can provide enormous benefits to management solutions by, for example, inferring new knowledge and applying different kind of rules (e.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.

Authors

Pedro Martinez-Julia (pedro@nict.go.jp)
Shunsuke Homma (shunsuke.homma.fp@hco.ntt.co.jp)

(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)