MAKING GRID SYSTEMS SELF-ORGANIZING AND ADAPTIVE: AN APPROACH LEVERAGING BIOLOGICAL CONCEPTS AND MECHANISMS

摘要

Grid computing systems are expected to be more scalable and adaptive. Based on the observation that various biological systems have already overcome these requirements, the proposed architecture, called SymbioticSphere, applies biological concepts and mechanisms to design grid systems (application services and middleware platforms). In SymbioticSphere, each application service and middleware platform is designed as a biological entity, and implements biological concepts and mechanisms such as decentralization, energy exchange, migration, replication and death. Simulation results show SymbioticSphere exhibits self-organization with inherent support of scalability and adaptability through collective actions and interactions of application services and middleware platforms. Preliminary simulation results show that application services and middleware platforms collectively adapt to dynamic changes in the network (e.g. user location, network traffic and resource availability).