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Decentralized multi-agent service composition

机译:分散式多代理服务组合

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Current approaches to service composition are mostly based on centralized control model, and suffer from scalability,performance, and robustness issues. In this paper we propose a decentralized multi-agent model for service composition,drawing inspiration from natural systems. The idea is that the composition will "emerge" from local service interaction,using holonic organizational theory for adaptation. In a holonic multi-agent system, a holon is a concept of coalition that is formed through commitments amongst agents and induces an emergent structure amongst agents. A prototype is developed based on JADE platform and web services integration gateway to implement the proposed decentralized multi-agent service composition model. Furthermore, a case study is presented on service composition problem for a distributed generation electricity supply chain. Simulation experiments with different scenarios of the volatile electricity supply chain in distributed generation are conducted to validate our proposed decentralized multi-agent approach. When compared with centralized control approach, which is clearly limited when dealing with large-scale systems, our proposed approach performs favorably in tackling increased systems complexity and scale, though decentralized multi-agent approach does generate a larger message overhead and longer service discovery times.
机译:当前的服务组合方法主要基于集中式控制模型,并且存在可伸缩性,性能和健壮性问题。本文提出了服务组合的分散多主体模型,从自然系统中汲取了灵感。想法是,该组合将使用整体组织理论进行适应,从而从本地服务交互中“出现”。在完整的多智能体系统中,Holon是联盟的概念,它是通过智能体之间的承诺而形成的,并在智能体之间引发紧急结构。基于JADE平台和Web服务集成网关开发了一个原型,以实现所提出的分散式多代理服务组合模型。此外,针对分布式发电电力供应链的服务组合问题进行了案例研究。进行了分布式发电中波动性电力供应链不同场景的仿真实验,以验证我们提出的分散式多主体方法。与集中式控制方法相比,集中式控制方法在处理大型系统时显然受到限制,尽管分散的多代理方法确实会产生更大的消息开销和更长的服务发现时间,但我们提出的方法在应对不断增加的系统复杂性和规模方面表现良好。

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