A two-level semantic caching scheme for super-peer networks

P. Garbacki, D. Epema, Steen van
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引用次数: 26

Abstract

Recent measurement studies of file-sharing peer-to-peer networks have demonstrated the presence of semantic proximity between peers and between shared files. In this paper we tackle the problem of exploiting the semantic locality of peer requests to improve the performance of a P2P network by the use of semantic caches. Such caches group together peers with similar interests as well as files with similar request patterns. The resulting two-level caching infrastructure can be integrated in a very natural way with the super-peer concept. The super-peers in our system cache pointers to files recently requested by their client peers. The client peers, on the other hand, keep caches of super-peers that answered most of their requests in the past. As a consequence, peers with similar interests are grouped (clustered) under the same super-peers, and also files with similar request patterns are indexed by the same super-peers. We discuss the design choices and optimizations of the presented model. We also evaluate our system versus the network that uses only one level of semantic caches.
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一种用于超级对等网络的两级语义缓存方案
最近对文件共享对等网络的测量研究表明,对等点之间和共享文件之间存在语义接近。在本文中,我们通过使用语义缓存来解决利用对等请求的语义局部性来提高P2P网络性能的问题。这样的缓存将具有相似兴趣的对等节点以及具有相似请求模式的文件分组在一起。由此产生的两级缓存基础设施可以以一种非常自然的方式与超级对等概念集成。系统中的超级对等体缓存指向其客户端对等体最近请求的文件。另一方面,客户端对等体保存超级对等体的缓存,这些超级对等体在过去响应了它们的大多数请求。因此,具有相似兴趣的对等点被分组(聚集)在相同的超级对等点下,并且具有相似请求模式的文件也由相同的超级对等点索引。我们讨论了模型的设计选择和优化。我们还将我们的系统与仅使用一层语义缓存的网络进行比较。
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