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A Trust Domain-Based Resource Selection Model for Multi-Agent

机译:基于信任域的多智能体资源选择模型

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摘要

Along with the development of e-commerce, the problem of credibility for on-line transaction and exact selection of network resources has become more important That is because of the anonymity and openness of on-line transactions and the richness of network resources. For this reason, A Trust Domain-Based Resource Selection Model for Multi-Agent (DRSM) is presented. The model divides the network into numbers of trust domains. Each domain has one Domain Agent and several Entity Agents. Through the periodically communication between the agents, the model prevents the information's inconsistency maintained by different agents. Trust values of service providers (SPs) and consumers are evaluated and updated dynamically after the completion of each transaction, which enables the consumer to receive the response from the agent significantly quicker compared to other reputation-based-trust models where the trust values are computed at the request-time. Because of the diversity of Web services, the model takes the similarity between services and the SPs' recognition to the services into account, which can not only give trusted services to users but also can choose the best matching services to the users' request. Finally, the model is illustrated the effectiveness and feasibility according to the experiment.
机译:随着电子商务的发展,在线交易的可信度和网络资源的准确选择问题变得越来越重要。这是因为在线交易的匿名性和开放性以及网络资源的丰富性。为此,提出了一种基于信任域的多代理资源选择模型(DRSM)。该模型将网络划分为多个信任域。每个域都有一个域代理和几个实体代理。通过代理之间的定期通信,模型可以防止不同代理维护的信息不一致。在完成每笔交易后,将动态评估和更新服务提供商(SP)和消费者的信任值,与使用其他基于信誉的信任模型(计算信任值)相比,消费者可以更快地从代理接收响应在请求时间。由于Web服务的多样性,该模型考虑了服务之间的相似性以及SP对服务的识别,这不仅可以为用户提供受信任的服务,还可以根据用户的请求选择最匹配的服务。最后,通过实验说明了该模型的有效性和可行性。

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