面向可扩展并行计算的负载均衡算法稳定性研究

Qingyang Meng, Jianzhong Qiao, Jun Liu, Shukuan Lin
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引用次数: 4

摘要

在并行集群计算中,不可扩展或不稳定的负载均衡算法会严重影响计算性能。针对这种情况,本文提出了一种线性动态负载平衡模型,并分析了该线性模型在存在时滞条件下的稳定性。在分析结果的基础上,本文采用负载均衡增益来控制该模型随系统规模的增加。最后,提出了一个更实用的非线性模型,并给出了仿真结果,与分析结果和其他负载均衡方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Stability of Load Balancing Algorithm for Scalable Parallel Computing
In parallel cluster computing, an unscalable or unstable load balancing algorithm can intensely affect the performance of computing. To aim at this case, this paper puts forward a linear dynamic load balancing model and analyzes the stability of this linear model on the condition of existing time delay. Base on analyzing results, this paper uses a load balancing gain to control this model with the increasing system scale. In the end, a more useful nonlinear model is proposed and the simulation results are given to compare with analyzing results and other load balancing methods.
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