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

D. Ram, H. Haridas
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引用次数: 9

Abstract

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.
使用公共云稳定点对点系统:点对点搜索的案例研究
由于缺乏集中控制和透明度等理想特性,合作式点对点系统具有很大的相关性。但是在某些应用中,当集中负载峰值发生时,点对点系统的稳定性会受到影响。在这项工作中,我们探讨了云辅助点对点系统使用点对点搜索来处理峰值的案例。我们确定了实现云辅助点对点系统所涉及的问题,并提出,实施和评估适合点对点系统合作性质的云辅助点对点搜索(CAPS)架构。实验结果表明,CAPS在查询峰值期间为点对点搜索服务提供了稳定性,而不会对用户体验产生不利影响。
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