A topology-aware load balancing algorithm for P2P systems

Seyed Iman Mirrezaei, Javad Shahparian, M. Ghodsi
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引用次数: 9

Abstract

One of the challenges of P2P systems is to perform load balancing efficiently. A distributed hash table (DHT) abstraction, heterogeneous nodes, and non uniform distribution of objects cause load imbalance in structured P2P overlay networks. Several solutions are suggested to solve this problem but they have some restrictions. They assume the homogeneous capabilities of nodes, unawareness of the link latency during transferring load and imposing logical structures to collect and reassign load. This paper presents a distributed load balancing algorithm with topology awareness using the concept of virtual servers. In our proposed approach, each node collects neighborhood load information from physically close nodes and reassigns virtual servers to overlay nodes according to topology of underlying network. Consequently, it provides rapid convergence on load balance and reduces the load transfer cost. Moreover, our parametric algorithm increases the quality of load balancing among close nodes of overlay and also provides a new tradeoff between the quality of load balancing and load transfer cost among all overlay nodes. Our simulations show that our approach reduces the load transfer cost and saves a great network bandwidth.
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基于拓扑感知的P2P系统负载均衡算法
P2P系统面临的挑战之一是如何有效地进行负载平衡。分布式哈希表(DHT)抽象、异构节点和对象分布不均匀是结构化P2P覆盖网络负载不均衡的主要原因。提出了几种解决方案来解决这个问题,但它们有一些限制。它们假定节点的能力是同构的,在传输负载期间不知道链路延迟,并施加逻辑结构来收集和重新分配负载。本文利用虚拟服务器的概念,提出了一种具有拓扑感知的分布式负载均衡算法。在我们提出的方法中,每个节点从物理上接近的节点收集邻域负载信息,并根据底层网络的拓扑结构将虚拟服务器重新分配给覆盖节点。因此,它提供了快速收敛的负载均衡和降低负载转移成本。此外,我们的参数化算法提高了覆盖节点间负载均衡的质量,并提供了覆盖节点间负载均衡质量与负载转移成本之间的一种新的权衡。仿真结果表明,该方法降低了负载传输成本,节省了大量网络带宽。
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