The design of a novel context-aware policy model to support machine-based learning and reasoning |
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Authors: | John Strassner José Neuman de Souza David Raymer Srini Samudrala Steven Davy Keara Barrett |
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Institution: | (1) TSSG, Waterford Institute of Technology, Carriganore, Co. Waterford, Ireland;(2) Federal University of Ceará, Fortaleza, Brazil;(3) Motorola Labs, Schaumburg, IL, USA |
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Abstract: | The purpose of autonomic networking is to manage the business and technical complexity of networked components and systems.
However, the lack of a common lingua franca makes it impossible to use vendor-specific network management data to ascertain the state of the network at any given time.
Furthermore, the tools used to analyze management data are all different, and hence require different data in different formats.
This complicates the construction of context from diverse information sources. This paper describes a new version of the DEN-ng
context-aware policy model, which is part of the FOCALE autonomic network architecture. This model has been built using three
guiding principles: (1) both the context model and the policy model are rooted in information models, so that they can govern
managed entities, (2) each model is expressly constructed to facilitate the generation of ontologies, so that reasoning about
policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language that
supports machine-based reasoning and learning can be developed from it.
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Keywords: | Autonomic architecture Context FOCALE Machine-based learning and reasoning Ontology-based management Policy management Semantic reasoning |
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