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Load Balancing in a Cluster-Based P2P System

机译:基于群集的P2P系统中的负载平衡

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In this paper we study load balancing in a cluster based p2p system. The cluster based architecture is chosen after the study of various real systems. We then define the notion of load for that system and describe coefficients that measure the different parameters of load. We use these coefficients to define load factors that can be used to measure each node's load. These factors are also used in two algorithms that balance the load fairly among all peers in a cluster. We improve the algorithms' balancing performance using replication of popular objects. A set of metrics is used to evaluate the cost of each algorithm and the effect on system's performance. Our simulation results show that it is possible to improve the fairness on load distribution without replication but with a small reduce on system's throughput. And under the cost of replicating a small amount of objects we improve fairness without reducing system's throughput.
机译:在本文中,我们研究了基于集群的P2P系统中的负载平衡。在研究各种真实系统之后,选择基于集群的架构。然后,我们为该系统定义了负载的概念,并描述了测量加载不同参数的系数。我们使用这些系数来定义可用于测量每个节点的负载的负载因子。这些因素也用于两种算法,这些算法平衡群集中所有同行中的负荷。我们使用流行对象的复制来改进算法的平衡性能。一组指标用于评估每种算法的成本和对系统性能的影响。我们的仿真结果表明,在没有复制的情况下,可以提高负载分布的公平性,但系统的吞吐量较小。在复制少量物体的成本下,我们改善公平而不降低系统的吞吐量。

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