Semantic-Based Policy Engineering for Autonomic Systems

Abstract

Abstract. This paper presents some important directions in the use of ontologybased semantics in achieving the vision of Autonomic Communications. We examine the requirements of Autonomic Communication with a focus on the demanding needs of ubiquitous computing environments, with an emphasis on the requirements shared with Autonomic Computing. We observe that ontologies provide a strong mechanism for addressing the heterogeneity in user task requirements, managed resources, services and context. We then present two complimentary approaches that exploit ontology-based knowledge in support of autonomic communications: service-oriented models for policy engineering and dynamic semantic queries using content-based networks. The paper concludes with a discussion of the major research challenges such approaches raise.

Security Policy Development: Towards a Life-Cycle and Logic-Based Verification Model

“…They argued that consistency maintenance for policies across domains is required when several domain ontologies are merged together and policies are being created on entities within these domains. Lewis et al [15] proposed a method to support policy engineering by using ontology-based semantic models of the managed system to enable automated reasoning about the resolution and interactions of policies.…”

Ontology-Based Policy Refinement Using SWRL Rules for Management Information Definitions in OWL

“…The advantages of semantic policy frameworks are analysed in [10], stating that semantic approaches using RDF/OWL as standards for policy representation enable runtime extensibility and adaptability of the system, as well as the ability to work with policies relating to entities described at different levels of abstraction. The use of ontology-based PBM to provide dynamically adaptive network management solutions is also proposed in [11].…”

“…Also, it is not restricted to service oriented architectures as in [11], in which behaviour defined for a certain HL service affects the behaviour of the LL services in which the former is decomposed. It also presents the semantic web advantages for network management about working with data distributed over different systems with heterogeneous RDF-based semantics [11].…”

Autonomic policy-based management using web services

“…Translating HLP into LLP is called policy refinement. There is no generic solution for policy refinement, but recent research results have shown that Semantic Web technology may be the first toolkit to solve this problem [1,5,2].…”