计算机工程 ›› 2008, Vol. 34 ›› Issue (21): 175-177.doi: 10.3969/j.issn.1000-3428.2008.21.063

• 人工智能及识别技术 • 上一篇    下一篇

基于Agent与分布式缓存的P2P资源发现策略

陈 杰,彭德巍   

  1. (武汉理工大学计算机科学与技术学院,武汉 430063)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-11-05 发布日期:2008-11-05

Strategy of P2P Resource Discovery Based on Agent and Distributed Caches

CHEN Jie, PENG De-wei   

  1. (Academy of Computer Science and Technology, Wuhan University of Technology, Wuhan 430063)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-11-05 Published:2008-11-05

摘要: 提出一种基于multi-agent与分布式缓存技术的资源发现模型,静态agent可维护本地资源信息,移动agents可通过在网络中的迁移来完成资源的发现,分布式缓存可以提供一种高效的搜索方式。在P2P网络中,使用该模型可快速找到资源,减少网络阻塞,改善扩展性与健壮性。

关键词: 移动代理, 资源发现, 蚂蚁算法, 信息素, 启发式

Abstract: This paper presents a novel resource discovery strategy based on the multi-agent and distributed caches technology. Agents maintain local resource information and mobile agents migrate on network to discover shared resource. Distributed caches can provide an effective searching method. System model and decision algorithm is described. Resource can be quickly acquired and network traffic can be reduced greatly, scalability and robustness can be improved based on this model in P2P network.

Key words: Mobile Agent(MA), resource discovery, ant algorithm, pheromone, heuristic

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