计算机工程与应用2013，Vol.49Issue(5)：77-80,4.DOI:10.3778/j.issn.1002-8331.1108-0132
基于改进GA的云计算任务调度算法
Improved GA-based task scheduling algorithm in cloud computing
摘要
Abstract
Cloud computing needs to manage a large number of computing tasks, while task scheduling strategy plays a key role in determining the efficiency of cloud computing. It is an important issue how to allocate computing resources reasonably and schedule tasks run effectively which can reduce the complete time and cost of all tasks. A Time and Cost constraints Genetic Algorithm (TCGA) is proposed, through which, a better scheduling result not only shortens time, but also costs less. The simulation shows that TCGA is an efficient task scheduling algorithm in cloud computing by contrast with Time constraints Genetic Algorithm(TGA) and Cost constraints Genetic Algorithm(CGA).关键词
云计算/遗传算法/任务调度/时间/成本Key words
cloud computing/Genetic Algorithm(GA)/task scheduling/time/cost分类
信息技术与安全科学引用本文复制引用
朱宗斌,杜中军..基于改进GA的云计算任务调度算法[J].计算机工程与应用,2013,49(5):77-80,4.
