Title :
The Design of a New Policy Model to Support Ontology-Driven Reasoning for Autonomic Networking
Author :
Strassner, John ; De Souza, José Neuman ; Raymer, David ; Samudrala, Srini ; Davy, Steven ; Barrett, Keara
Author_Institution :
Motorola Labs, Schaumburg
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, which include information and data models, ontologies, machine learning algorithms, and policy languages, are all different, and hence require different data in different formats. This paper describes a new version of the DEN-ng policy model, which is part of the FOCALE autonomic network architecture. This new policy model has been built using three guiding principles: (1) the policy model is rooted in information models, so that it can govern managed entities, (2) the 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 can be developed from it.
Keywords :
learning (artificial intelligence); ontologies (artificial intelligence); DEN-ng policy model; FOCALE autonomic network architecture; machine learning algorithms; ontology-driven reasoning; policy languages; vendor-specific network management data; Adaptive control; Computer architecture; Context modeling; Context-aware services; Data analysis; Data models; Information analysis; Ontologies; Rats; Technology management; Autonomic Networking; FOCALE Autonomic Architecture; Next Generation Services; Ontology-Based Management; Policy Management; Semantic Reasoning;
Conference_Titel :
Network Operations and Management Symposium, 2007. LANOMS 2007. Latin American
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-1-4244-1182-5
Electronic_ISBN :
978-1-4244-1182-5
DOI :
10.1109/LANOMS.2007.4362466