A Semantic Model to Assist Policy Refinement Mechanisms for NFV-MANO Systems | Zendy

Michel Bonfim | Zendy; Fred Freitas | Zendy; Stênio Fernandes | Zendy

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A Semantic Model to Assist Policy Refinement Mechanisms for NFV-MANO Systems

Author(s) -

Michel Bonfim,

Fred Freitas,

Stênio Fernandes

Publication year - 2021

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5753/wpietf.2021.15780

Subject(s) - semantic reasoner , computer science , planner , task (project management) , process (computing) , programming language , software engineering , artificial intelligence , systems engineering , engineering

Management in NFV scenarios is a complex task. In this scenario, automated policy refinement can be used to enforce NFV-MANO functions to deal with the increased complexity. However, existing solutions do not perform policy analysis. Therefore, in this work, we propose a semantic model in OWL 2, named Onto-Planner, to assist the policy refinement process for NFV-MANO systems. Preliminary results show that Onto-Planner provides policy analysis when a DL reasoner is applied.

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