摘要
P2P环境的高度动态特性导致了搜索性能的不稳定。针对节点的兴趣变化对搜索性能的影响,利用节点的自治和系统自组织特性,提出了一种动态自适应搜索机制SAS。基于资源的合理组织以及查询历史统计信息,通过消息转发的智能性,及时反映资源分布以及搜索内容的动态变化,从而迅速定位资源提供节点,提高了搜索的性能和稳定性。实验分析表明,SAS可以自动优化搜索性能,具有很好的自适应性。
High dynamism in P2P network consults in unstable search performance. Aiming at dealing with the influence of interests transformation on peer＇s search performance,a self-adaptive search mechanism, named SAS, was proposed. Based on the reasonable resource organization and historic search statistics information, SAS can immediately refleet the dynamic change of resource distribution and search content by intelligent message route, which improves the search efficiency, Experiment shows that the SAS can automatically improve search performance, and meanwhile guarantee the search stableness.
出处
《计算机科学》
CSCD
北大核心
2008年第10期58-60,64,共4页
Computer Science
基金
国家自然科学基金资助(60172012)
湖南省自然科学基金资助(03JJY3110)
关键词
对等网
兴趣
自适应
搜索
P2P, Interest, Self-adaptive, Search
