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The Server Reassignment Problem for Load Balancing in Structured P2P Systems

机译:结构化P2P系统中用于负载平衡的服务器重新分配问题

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Application layer peer to peer (P2P) networks are considered to be the most important development for next generation Internet infra-structure. For these systems to be effective, load balancing among the peers is critical. Most structured P2P systems rely on ID-space partitioning schemes to solve the load imbalance problem, and has been known to result in an imbalance factor of u00026;#x0398;(log N) in the zone sizes. This paper makes two contributions. First, we propose to address the virtual server-based load balancing problem systematically using an optimization based approach, and derived an effective algorithm to re-arrange loads among the peers. We demonstrate the superior performance of our proposal in general, and its advantages over previous strategies in particular. We also explore other important issues vital to the performance in the virtual server framework, such as the effect of the number of directories employed in the system, and the performance ramification of user registration strategies. Secondly, and perhaps more significantly, we characterize systematically the effect of heterogeneity on load balancing algorithm performance, and the conditions in which heterogeneity may be easy or hard to deal with based on extensive study of a wide spectrum of load and capacity scenarios.
机译:应用层对等(P2P)网络被认为是下一代Internet基础结构的最重要发展。为了使这些系统有效,对等方之间的负载平衡至关重要。大多数结构化的P2P系统都依靠ID空间分区方案来解决负载不平衡问题,并且已知会导致区域大小中的不平衡因子为u00026;#x0398;(log N)。本文有两个贡献。首先,我们提出使用基于优化的方法来系统地解决基于虚拟服务器的负载平衡问题,并推导了一种有效的算法来在对等方之间重新安排负载。我们总体上展示了我们提案的优越性能,尤其是它比以前的策略更具优势。我们还将探讨对虚拟服务器框架的性能至关重要的其他重要问题,例如系统中使用的目录数量的影响以及用户注册策略的性能影响。其次,也许更重要的是,我们通过广泛研究各种负载和容量方案,系统地描述了异构性对负载均衡算法性能的影响以及异构性可能容易或难以应对的条件。

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