P2P网络中基于语义组的自适应资源预测复制算法  

An Adaptive File Replication Method Based on Semantic Group in P2P Network

作　　者：张同光[1] 赵晓莉[1] 

机构地区：[1]新乡学院计算机与信息工程学院,新乡453003

出　　处：《电信科学》2012年第3期79-82,共4页Telecommunications Science

基　　金：河南省教育厅自然科学研究计划科技攻关基金资助项目(No.2008B520023)

摘　　要：在众多P2P资源搜索技术中,基于热点资源复制的搜索被重点关注。本文在考虑节点语义的情况下,基于ARIMA预测模型提出了自适应热点资源复制方法(semantic-aware replication based on ARIMA,SARA)。SARA充分考虑了无结构P2P网络中语义拓扑结构的特性,引入ARIMA预测模型,对于可能出现的热点资源提前进行副本复制。实验表明,SARA有效地避免了不必要的副本复制浪费,减小了复制开销,同时保证了较高的副本查询效率。Among various searching techniques,the hot resource-based searching is focused on.In this paper,we propose an adaptive file replication method based on semantic dynamic community SARA（semantic-aware replication based on ARIMA）.By introduced ARIMA prediction model and fully taken account the features of the semantics topology of unstructured P2P network,SARA copies possible hot resources in advance.The simulation results show that SARA effectively avoids unnecessary waste of copies,and reduces the replication cost.Meanwhile SARA also can guarantee a high search efficiency of the copies.

关 键 词：SARA 副本复制 预测函数 P2P网络 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]