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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >PeerCluster: A Cluster-Based Peer-to-Peer System
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PeerCluster: A Cluster-Based Peer-to-Peer System

机译：PeerCluster：基于集群的对等系统

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This paper proposes a cluster-based peer-to-peer system, called PeerCluster, for sharing data over the Internet. In PeerCluster, all participant computers are grouped into various interest clusters, each of which contains computers that have the same interests. The intuition behind the system design is that by logically grouping users interested in similar topics together, we can improve query efficiency. To efficiently route and broadcast messages across/within interest clusters, a hypercube topology is employed. In addition, to ensure that the structure of the interest clusters is not altered by arbitrary node insertions/deletions, we have devised corresponding JOIN and LEAVE protocols. The complexities of these protocols are analyzed. Moreover, we augment PeerCluster with a system recovery mechanism to make it robust against unpredictable computeretwork failures. Using an event-driven simulation, we evaluate the performance of our approach by varying several system parameters. The experimental results show that PeerCluster outperforms previous approaches in terms of query efficiency, while still providing the desired functionality of keyword-based search.
机译：本文提出了一种基于群集的对等系统，称为PeerCluster，用于通过Internet共享数据。在PeerCluster中，所有参与者计算机都分为不同的兴趣集群，每个集群都包含具有相同兴趣的计算机。系统设计的直觉是，通过将对相似主题感兴趣的用户逻辑上分组在一起，我们可以提高查询效率。为了跨/在感兴趣的集群内有效地路由和广播消息，采用了超立方体拓扑。另外，为了确保兴趣簇的结构不会因任意节点的插入/删除而改变，我们设计了相应的JOIN和LEAVE协议。分析了这些协议的复杂性。此外，我们还通过系统恢复机制增强了PeerCluster的性能，使其能够应对不可预测的计算机/网络故障。使用事件驱动的仿真，我们通过更改几个系统参数来评估方法的性能。实验结果表明，PeerCluster在查询效率方面优于以前的方法，同时仍提供了基于关键字的搜索所需的功能。

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