Adaptive Distributed Service Discovery for Dependable Service Integration

For the provision of dependable search and rescue capability in dynamic and unpredictable disaster areas, each networked node should have ability to (1) autonomously support and co-operate with each other in a peer-to-peer (P2P) manner to quickly discover and dependably self-configure services available on the disaster area to deliver a real-time capability; (2) modify their behaviours to deliver a sustainable capability according to environmental changes; (3) self-organise themselves to generate higher flexibility and adaptability for disaster management systems; and (4) share information and generate access throughout the network. In this paper, we propose an Adaptive and Efficient Peer-to-peer Search (AEPS) approach for dependable service integration on service-oriented architecture based on a number of social behaviour patterns. AEPS is capable to efficiently discover desirable services for disaster monitoring and relief by interacting with connected nodes and to support dependable dynamic service integration in real time through coping with rapid and significant changes in the disaster area. AEPS has no single point of failure, providing greater dependability in provision of capability even in the worst case of failure of service registry.