Structuring Peer-to-Peer Networks Using Temporal and Semantic Locality

G. Lai, Shengyun Yang, D. Yuan
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引用次数: 4

Abstract

Current resource locating algorithms either cannot yield good lookup performance,or incur high search cost and system maintenance overhead.The poor search efficiency of these approaches may seriously limit the scalability of current P2P systems.In this paper,we propose to exploit two-dimensional locality to improve P2P system search efficiency. We present a locality-aware P2P system architecture called Forecast, which explicitly exploits temporal locality and semantic locality by constructing a temporal neighbor overlay and a semantic friend overlay, respectively. Given a query, Forecast first looks for the target resource among the query generator's temporal neighbors, and if it fails to hit the targets,the query will be forwarded to the relevant semantic friend overlay for the second search.Simulation results show that our scheme can greatly improves the system performance.
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利用时间和语义局部性构建对等网络
当前的资源定位算法要么不能产生良好的查找性能,要么会产生很高的搜索成本和系统维护开销。这些方法的搜索效率很低,严重限制了当前P2P系统的可扩展性。本文提出利用二维局部性来提高P2P系统的搜索效率。我们提出了一个位置感知的P2P系统架构,称为Forecast,它通过分别构建一个时间邻居覆盖和一个语义朋友覆盖来明确地利用时间局部性和语义局部性。给定一个查询,Forecast首先在查询生成器的时间邻居中查找目标资源,如果未能命中目标,则将查询转发到相关的语义友元覆盖以进行第二次搜索。仿真结果表明,该方案能显著提高系统性能。
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