FRAMESELF: A Generic Context-Aware Autonomic Framework for Self-Management of Distributed Systems

Abstract

The increasing complexity for the management of current distributed software and system needs new solutions. Designing autonomic systems which are self-managing and context aware is a solution and also a challenge. This paper proposes the FRAME SELF framework, a generic autonomic architecture based on context awareness and decision models built. The proposed solution capabilities are illustrated on the self-configuration of machine to machine networks (M2M). M2M needs to connect thousands of various fix and mobile machines that are widely distributed and evolve frequently according to their profile and context changes. FRAME SELF uses multi models representation based on ontologies and graphs to describe the M2M concepts and relationship on a multi-level knowledge base. Two communication patterns modules based on service-oriented and event-driven communications are dynamically selected and configured in deployment plans. A M2M smart metering use case is experimented to illustrate the proposed approach.