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Stabilizing Peer-to-Peer Systems Using Public Cloud: A Case Study of Peer-to-Peer Search

机译:使用公共云稳定点对点系统:对等搜索的一个案例研究

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Co-operative peer-to-peer systems have lot of relevance due to their desirable properties like lack of centralized control and transparency. But in certain applications, the stability of peer-to-peer systems is affected when concentrated load spikes occur. In this work, we explore the case for cloud-assisted peer-to-peer systems to handle spikes using peer-to-peer search as a case study. We identify the issues involved in realizing cloud-assisted peer-to-peer systems and propose, implement and evaluate Cloud-Assisted Peer-to-Peer Search(CAPS) architecture which fits in with the co-operative nature of peer-to-peer systems. The experimental results show that CAPS provides stability to peer-to-peer search service during query spikes without affecting user experience adversely.
机译:由于缺乏集中控制和透明度,共同操作的同行对等系统具有大量相关性。但在某些应用中,当发生集中的负载尖峰时,对等系统的稳定性受到影响。在这项工作中,我们探讨了云辅助点对点系统的情况,以使用点对点搜索作为案例研究处理尖峰。我们确定实现云辅助的点对点系统和提出,实施和评估云辅助的点对点搜索(CAPS)架构的问题,该架构适用于对等体的合作性质系统。实验结果表明,在查询尖峰期间,CAPS在查询尖峰期间提供对等搜索服务的稳定性,而不会影响用户体验。

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