ML-Chord中基于动态查询的查询策略

Modified ML-Chord Search Strategy based on Dynamic Query

动态查询是无结构点对点(P2P)网络中经常采用的查询技术,该方法使用尽可能少的对等节点得到所需的查询结果。分布式哈希表是结构化P2P网络查询过程中采用的机制。近年来将非结构化查询和结构化查询结合起来提出了混合式P2P查询机制以此来提高查询性能。在结构化网络模型ML-Chord中加入了动态查询,同时根据文件的受欢迎程度调整查询范围,减少了网络负载,从而提高了查询效率。

Dynamic query is a technique frequently adopted in unstructured P2P networks for minimizing the number of peers necessary to obtain the desired query results.Distributed Hash Table is a mechanism used in the process of structured P2P networks query.In recent years,hybrid P2P search mechanism is proposed in combination of unstructured query and structured query methods,thus to improve the query performance.In this paper,dynamic query is added to the ML-Chord model.Meanwhile,search range is adjusted according to the popularity of files, thus to reduce network load and improve search efficiency.