文章基本信息

标题：A Parallel Task Scheduling Optimization Algorithm Based on Clonal Operator in Green Cloud Computing
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作者：Yang Liu ; Wanneng Shu ; Chrish Zhang 等
期刊名称：Journal of Communications
印刷版ISSN：1796-2021
出版年度：2016
卷号：11
期号：2
页码：185-191
DOI：10.12720/jcm.11.2.185-191
语种：English
出版社：ACADEMY PUBLISHER
摘要：Computing resources in cloud computing with heterogeneous, dynamic, non-balancing and other features, how to allocate resources to fully improve resource utilization and reduce task execution time and energy consumption optimization is the key problem to be faced in cloud computing. According to the basic characteristics of task scheduling in cloud computing environment, this paper proposes an energy consumption optimization model for task scheduling, and proposes a green clonal scheduling optimization algorithm by taking advantage of the clonal operator of immune algorithm. Experimental results show that the proposed algorithm can not only effectively reduce the execution time and energy consumption, and can achieve resource load balancing, thus effectively improve the resource utilization and scheduling efficiency.
关键词：Green cloud computing ; clonal operator ; task scheduling ; computing resources ; energy consumption optimization