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Intelligent Reasoning on External Events for Network Management

Document Type Replaced Internet-Draft (individual)
Expired & archived
Authors Pedro Martinez-Julia , Shunsuke Homma
Last updated 2020-09-07 (Latest revision 2020-03-06)
Replaced by draft-pedro-nmrg-ai-framework
RFC stream (None)
Intended RFC status (None)
Stream Stream state (No stream defined)
Consensus boilerplate Unknown
RFC Editor Note (None)
IESG IESG state Replaced by draft-pedro-nmrg-ai-framework
Telechat date (None)
Responsible AD (None)
Send notices to (None)

This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:


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.


Pedro Martinez-Julia
Shunsuke Homma

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