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A Timeline Based Query-Driven Caching Protocol for Hierarchical Peer-to-Peer File Sharing Systems

机译:分层对等文件共享系统中基于时间轴的查询驱动缓存协议

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摘要

In hierarchical Peer-to-Peer (P2P) systems, several selected peers are promoted as super-peers to provide an efficient lookup service for the ordinary peers, although it would cause a service bottleneck and a heavy workload at the point of the promoted peers. In this paper, we study the impact of data caches to relax such bottleneck, as well as the improvement of the trade-off point between the freshness of cached data and the maintenance cost. More concretely, we propose a Timeline based Query-Driven caching as a main contribution, which keeps the cached data up-to-date almost at any point in time with much less data transmissions than conventional methods. The performance of the proposed method is evaluated by simulation. The simulation results indicate that our caching protocol effectively reduces 52% of network traffic and shows better hit rate in smaller cache sizes.
机译:在分层对等(P2P)系统中,几个选定的对等点被提升为超级对等点,以为普通对​​等点提供有效的查找服务,尽管这会在升级对等点时引起服务瓶颈和繁重的工作量。在本文中,我们研究了数据缓存对缓解此类瓶颈的影响,以及缓存数据的新鲜度和维护成本之间折衷点的改进。更具体地讲,我们提出了一个基于时间轴的查询驱动缓存作为主要贡献,它使缓存数据几乎在任何时间点都保持最新状态,而数据传输却比传统方法少得多。通过仿真评估了该方法的性能。仿真结果表明,我们的缓存协议有效地减少了52%的网络流量,并在较小的缓存大小下显示了更高的命中率。

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