基于离散和声搜索的云计算任务调度研究

Study on task scheduling in cloud computing based on discrete harmony search

云计算任务调度是云计算最重要的问题之一。为解决云计算调度问题,提出一种基于改进和声搜索的调度算法。该算法采用离散形式编码,以总的任务完成时间为优化目标,并对标准和声搜索算法中新和声产生方式进行了改进。最后,在Cloud Sim平台上进行了仿真实验。实验结果表明,新提出的算法具有较好的调度性能。

Task scheduling is one of the most important issues in cloud computing. In order to solve the problem of cloud computing scheduling,a scheduling algorithm based on improved harmony search is proposed. The new algorithm uses the discrete form of encoding and employs the total task completion time as the optimization objective. At the same time,a new harmony generation method is introduced in the proposed algorithm. Finally,a simulation experiment is carried out on the Cloud Sim platform. Experimental results show that the new algorithm has better scheduling performance.