基于多智能体技术的P2P系统资源发现模型

Wang Dan
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引用次数: 7

摘要

P2P系统中节点的动态连接和动态叶子以及异构的网络结构给共享资源的发现带来困难。提出了一种基于多智能体技术的资源发现模型。代理维护本地资源信息,移动代理在网络中迁移,发现共享资源。蚁群系统中的多智能体通过信息素和局部启发式信息相互协作。描述了系统模型和决策算法。在P2P系统中,基于该模型可以快速获取资源,大大减少网络流量,提高可扩展性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A resource discovery model based on multi-agent technology in P2P system
Dynamic joins and leaves of the node and heterogeneous network structure in a P2P system make it difficult to discover shared resources. A resource discovery model based on multiagent technology is presented. Agents maintain local resource information and mobile agents migrate on the network to discover shared resources. Multiagents cooperate with each other by means of pheromone and local heuristic information in an ant system. The system model and decision algorithm are described. Resources can be quickly acquired, network traffic can be reduced greatly, ans scalability and robustness can also be improved based on this model in a P2P system.
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