Towards Self-Organized Load Distribution over Chaotic Resources

Yong-Hyuk Moon, Yong-Ju Lee
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Abstract

This paper addresses a question of whether resources suffering nonlinear fluctuations can maintain their stability as a system expands for computing tasks in a distributed manner. To this end, we suggest that by evolving individual resources following the self-organized criticality of sandpile model, the whole load distribution system can reach a stable state after a small but extremely local overhead occurs, leading to lots of avalanches. The proposed load balancing approach is evaluated in terms of latency minimization.
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混沌资源下的自组织负载分配
本文解决了当系统以分布式方式扩展计算任务时,遭受非线性波动的资源是否能够保持其稳定性的问题。为此,我们建议,通过遵循沙堆模型的自组织临界性对单个资源进行演化,使整个负荷分配系统在发生小而极局部的开销导致大量雪崩后达到稳定状态。所提出的负载平衡方法是根据延迟最小化进行评估的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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