电信科学 ›› 2012, Vol. 28 ›› Issue (3): 79-82.doi: 10.3969/j.issn.1000-0801.2012.03.021

• 研究与开发 • 上一篇    下一篇

P2P网络中基于语义组的自适应资源预测复制算法

张同光,赵晓莉   

  1. 新乡学院计算机与信息工程学院 新乡 453003
  • 出版日期:2012-03-15 发布日期:2012-03-15
  • 基金资助:
    河南省教育厅自然科学研究计划科技攻关基金资助项目

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

Tongguang Zhang,Xiaoli Zhao   

  1. Institute of Computer and Information Engineering,Xinxiang University,Xinxiang 453003,China
  • Online:2012-03-15 Published:2012-03-15

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。

关键词: SARA, 副本复制, 预测函数, P2P网络

Abstract:

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.

Key words: SARA, replication of the copies, prediction function, P2P network

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