PeerView:基于协作对等体上的视图进行查询处理

Aoying Zhou, Tian Xia, Weining Qian
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引用次数: 0

摘要

由于点对点计算目前的广泛应用和未来应用的潜在部署,它在学术界和工业界越来越受到重视。在本文中,我们提出了一个在P2P环境中提供基于视图的查询处理机制的P2P应用原型,它被命名为PeerView。大量的对等点可以在协作和自组织方案下工作,以回答它们的公共查询或子查询。给定每个对等点的工作负载和存储空间,某些对等点通过基于成本的协商方式建立和维护视图。在处理查询时,对等体可以首先从本地或附近对等体上的视图检索数据,而不是从远程源检索数据。因此,可以大幅减少网络流量,从而显著提高查询处理效率
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PeerView: query processing based on views over collaborative peers
Peer-to-peer computing is gaining more and more significance in both academia and industry, due to its widespread use currently and potential deployments in future applications. In this paper, we propose a prototype P2P application providing a view-based query processing mechanism in P2P environments, which is named as PeerView. A large number of peers may work under a collaborative and self-organizing scheme to answer their common queries or sub-queries. Given the workload and storage of each peer, some certain peers establish and maintain the views via a cost-based and negotiating way. When processing queries, the peers can first retrieve data from views locally or on nearby peers, instead of from the remote sources. Thus network traffic can be reduced sharply and consequently query-processing efficiency can be boosted significantly
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