Open AccessA 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) , work (physics) , software engineering , programming language , artificial intelligence , systems engineering , engineering , mechanical 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.