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一种用于无结构P2P网络的搜索算法

Search Algorithm for Unstructured P2P Networks
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摘要 无结构P2P文件共享系统进行文件搜索时,常常造成大量网络资源的浪费,文件的流行度呈现不均衡分布,搜索稀缺文件失败的可能性很大。针对这些问题,在Gnutella协议的基础上,引入预算机制,结合蚁群算法的正反馈策略,提出AntBudget搜索算法,以减轻上述缺陷带来的负面影响。 Searching files in traditional unstructured P2P networks often consumes a large amount of network resources. Queries for rare objects do not receive the desired number of results or even fail, because of the object-popularity's imbalanced distribution. Aiming at these problems, this paper proposes a new search algorithm, AntBudget, which is based on Gnutella protocol and adopts the budget mechanism as well as the trail-laying-and-following policy of ant colony optimization principle. The negative impact is reduced.
出处 《计算机工程》 CAS CSCD 北大核心 2010年第3期86-88,共3页 Computer Engineering
基金 天津市应用基础研究计划基金资助项目(07JCYBJC14200)
关键词 无结构P2P网络 搜索 预算 蚁群 unstructured P2P networks search budget ant colony
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参考文献4

  • 1Gkantsidis C, Mihail M. Hybrid Search Schemes for Unstructured Peer-to-Peer Networks[C]//Proc. of INFOCOM'05. Miami, FL, USA: IEEE Press, 2005.
  • 2Dorigo M. Optimization, Learning and Natural Algorithms[D]. Milano, Italy: Politecnico di Milano, 1992.
  • 3Kalogeraki V, Gunopulos D. A Local Search Mechanism for Peer-to-Peer Networks[C]//Proc. of CIKM'02. McLean, Virginia, USA: ACM Press, 2002.
  • 4Jacky C, Labonte K, Levein B N. Availability and Locality Measurements of Peer-to-Peer File Systems[C]//Proc. of SPIE'02. Hangzhou, China: [s. n.], 2002.

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