A Novel Approach for Cooperative Overlay-Maintenance in Multi-overlay Environments

Chin-Jung Hsu, Wu-Chun Chung, Kuan-Chou Lai, Kuan-Ching Li, Yeh-Ching Chung
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引用次数: 12

Abstract

Overlay networks are widely adopted in many distributed systems for efficient resource sharing. Recently, issues in overlay network have also been introduced into cloud systems, in order to organize thousands of virtualized resources. In parallel, the explosion of P2P applications introduces the multi-overlay environment in which a number of nodes simultaneously participate in multiple overlays. When multiple applications running over a large set of nodes, some of nodes may take repeated efforts to preserve multi-overlay networks. Therefore, maintaining these co-existing overlays brings the redundant maintenance overhead. This paper presents a cooperative strategy to analyze the overlay maintenance of multi-overlay environments and to elaborate multiple overlays for simplifying the overlay maintenance. The proposed strategy exploits the synergy of co-existing overlays to handle their common overlay-maintenance, so that the redundant maintenance overhead could be eliminated while keeping performance. To evaluate the system performance, this paper not only analyzes several overlays but also considers realistic multi-overlay environments by varying the intersection ratio of diverse overlays and the combination of multiple overlays. Experimental results show that the proposed cooperative strategy significantly decreases the redundant overlay-maintenance overhead, where the reduction ratio of maintaining multiple overlays is higher than 60 percent in some of cases.
一种多覆盖环境下协同覆盖维护的新方法
为了实现高效的资源共享,在许多分布式系统中广泛采用覆盖网络。最近,为了组织成千上万的虚拟化资源,在云系统中也引入了覆盖网络的问题。与此同时,P2P应用的爆炸式增长引入了多覆盖环境,其中许多节点同时参与多个覆盖。当多个应用程序在大量节点上运行时,一些节点可能需要重复努力来保持多覆盖网络。因此,维护这些共存的覆盖会带来冗余的维护开销。本文提出了一种协作策略,对多覆盖环境下的覆盖层维护进行分析,并对多个覆盖层进行细化,以简化覆盖层维护。所提出的策略利用共存覆盖的协同作用来处理它们共同的覆盖维护,从而在保持性能的同时消除冗余的维护开销。为了评估系统的性能,本文不仅分析了多个覆盖层,而且通过改变多个覆盖层的相交比例和多个覆盖层的组合来考虑实际的多覆盖环境。实验结果表明,提出的协同策略显著降低了冗余覆盖维护开销,在某些情况下,维护多个覆盖的减少率高达60%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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