混合负载均衡策略,提高三层对等网络拓扑的性能效率

Yi-Tung F. Chan, C. Shoniregun, G. Akmayeva
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摘要

如今,由于技术的优势和互联网的普及,P2P (Peer-to-Peer)计算技术已经逐渐成为分布式系统应用的主流。而P2P计算技术的主要目的是通过分布式系统计算机协同处理大规模任务。因此,如何将任务高效地分配到各个节点,如何使任务在系统各节点上达到负载均衡是一个值得探讨的问题。在本文中,我们提出了负载平衡最小最小(LBMM)调度算法来处理P2P网络拓扑结构的三层任务分配。通过设置阈值,可以将每个需要执行的任务快速分配到合适的节点上。该方法不仅可以提高每个节点上的任务负载,而且可以根据任务特性选择最合适的节点,从而为三层P2P网络拓扑的负载均衡和性能效率提供质量保证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mixed load balance strategy to improve performance efficacy for three tiers Peer-to-Peer network topology
Nowadays, due to the advantage of technology and the Internet popularization, Peer-to-Peer (P2P) computing technology has been gradually becoming the mainstream on the distributed system applications. However, the main purpose of P2P computing technology is to process the large-scale task through the distributed system computer cooperatively. Therefore, how to efficiently assign tasks to every nodes and how to make tasks to achieve the load balance on each node of the system are a worthy discussion issue. In this research paper, we proposed the Load Balance Min-Min (LBMM) schedule algorithm to process the task assignment in the three tiers of P2P network topology architecture. Through setting up the threshold value, every task which needs to be executed can be quickly assigned on the suitable nodes. In this method, it can not only improve the task loading on each node but also choose the most suitable node by the task characteristic in order to provide the Quality Assurance (QA) on the three tiers of P2P network topology of the load balance and the performance efficacy.
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