网格调度中基于执行质量预测的蚂蚁算法

Yiqun Zhu, Minglu Li, Chuliang Weng
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引用次数: 5

摘要

任务调度是网格计算中的一项重要工作,也是一个困难而复杂的问题。在过去的研究中,我们有相当多的任务调度算法。蚂蚁算法是一种启发式算法。该算法固有的并行性和可扩展性使其能够满足网格计算中复杂任务调度的要求。在本文中,我们将在电网环境中提出一种改进的蚁群算法。并对信息素的计算和任务发布方法进行了改进。改进后的算法对电网环境更加敏感,对大负荷更具有鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ant Algorithm with Execution Quality Based Prediction in Grid Scheduling
Task scheduling is one important job in Grid computing and also a hard and complex problem. We have quite a few algorithm of task scheduling in the past researches. Ant Algorithm is a heuristic algorithm. The inherent parallelism and scalability make this algorithm meet the requirement of complex task scheduling in Grid computing.In this paper, we will propose an improved ant algorithm in our power grid environment. We made several improvements on the calculation of pheromone and task issue method as well. The improved algorithm becomes more sensitive with the power grid environment and more robust with heavy workload.
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