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Adaptive Distributed Service Discovery for Dependable Service Integration

机译:用于可靠服务集成的自适应分布式服务发现

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摘要

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.
机译:为了在动态和不可预测的灾区提供可靠的搜索和救援能力,每个网络节点都应具有以下能力:(1)以对等(P2P)方式自主支持并相互协作,以快速发现和在灾区提供可靠的自我配置服务,以提供实时功能; (2)根据环境变化改变其行为以提供可持续的能力; (3)自我组织,为灾害管理系统带来更高的灵活性和适应性; (4)共享信息并在整个网络中产生访问。在本文中,我们提出了一种自适应和有效的对等搜索(AEPS)方法,用于基于多种社会行为模式的面向服务的体系结构上的可靠服务集成。 AEPS能够通过与连接的节点进行交互来有效地发现所需的服务,以进行灾难监视和救灾,并通过应对灾区的快速而重大的变化来实时支持可靠的动态服务集成。 AEPS没有单点故障,即使在服务注册表失败的最坏情况下,也能提供更大的可靠性。

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