Scheduling Strategy of Subtask Decomposed

Benting Wan
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Abstract

The scheduling strategy of subtask decomposed (sub- DC) is presented in this article, which includes two parts. The first part is layered transaction of DAG (directed acyclic graph), which all subtasks are divided into different layers according to precedence relation; The second part is task assignation, in the first, min-min scheduling strategy is used to assign subtasks of one layer to each computer of system; after subtasks of one layer are assigned, load balancing strategy is used to dynamically adjusted system load, which makes use of character of subtasks decomposed and makes one layer subtasks are assigned better reason; then layer-by-layer subtasks are assigned using the same method. The Sub-DC not only makes subtasks of each layer be executed as quickly as possible, but also makes the application be executed in shorter time. The implement result shows that the Sub-DC is better than the level-by-level scheduling strategy (sub-Lev).
子任务分解调度策略
本文提出了子任务分解(sub- DC)调度策略,主要包括两个部分。第一部分是DAG(有向无环图)的分层处理,根据优先级关系将所有子任务划分到不同的层;第二部分是任务分配,首先采用最小最小调度策略,将一层的子任务分配给系统的每台计算机;在分配一层子任务后,利用分解子任务的特点,采用负载均衡策略对系统负载进行动态调整,使一层子任务的分配更加合理;然后使用相同的方法逐层分配子任务。Sub-DC不仅可以使每一层的子任务尽可能快地执行,而且可以使应用程序在更短的时间内执行。实施结果表明,Sub-DC策略优于逐级调度策略(sub-Lev)。
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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