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Load balancing in peer-to-peer systems using a diffusive approach

机译:使用扩散方法在对等系统中进行负载平衡

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We developed a diffusive load balancing technique for P2P systems. This technique uses the overlay network of a P2P system and results in the nodes of the network having similar available capacities; therefore the services hosted on these nodes are expected to have similar mean response times. In this paper, the technique is presented, including the policies, stages of operation, and decision algorithms. The convergence of the available capacities to the global average is demonstrated. The convergence speed depends on the decision algorithm, the neighborhood structure of the underlying overlay network, and the workload distribution. When used in a system with churn, the technique keeps the standard deviation of available capacities in the system within a bound. This bound depends on the amount of churn and the frequency of the load balancing operations, as well as on the distribution of node capacities. However, the sizes of services have little impact on this bound. The paper presents the results of analytical analysis and simulation studies.
机译:我们为P2P系统开发了一种扩散负载平衡技术。该技术使用P2P系统的覆盖网络,并导致网络的节点具有相似的可用容量。因此,期望这些节点上托管的服务具有相似的平均响应时间。本文介绍了该技术,包括策略,操作阶段和决策算法。证明了可用能力与全球平均值的融合。收敛速度取决于决策算法,底层覆盖网络的邻域结构以及工作负载分布。当在带有搅动的系统中使用时,该技术将系统中可用容量的标准偏差保持在一定范围内。此界限取决于搅动量和负载平衡操作的频率以及节点容量的分布。但是,服务的大小对此限制几乎没有影响。本文介绍了分析分析和模拟研究的结果。

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