A generic context model with autonomic features

Abstract

This paper addresses two fundamental research problems in the domain of pervasive autonomic systems: the development of a generic context model that can be used to represent general purpose contexts in a system interpretable way and the autonomic context model management. The context model is generically represented using a triple set consisting of context resources, actors and policies. The model is mapped onto real contexts by populating the sets with context specific elements. A context situation to which a pervasive system must adapt is represented by a specific context model instance. To ease the context reasoning and adaptation processes, the context model concepts and relationships are represented using a core ontology. The increasing complexity of the pervasive systems, and the difficulties of their management, administration and adaptation have headed us towards the necessity of integrating autonomic computing paradigms in the context model management process.