Research of cloud computing task scheduling algorithm based on improved genetic algorithm

摘要：

　　Use genetic algorithm for task allocation and scheduling has get more and more scholars attention.How to reasonable use of computing resources make the total and average time of complete the task shorter and cost smaller is an important issue.The paper presents a genetic algorithm consider total task completion time,average task completion time and cost constraint.Compared with algorithm that only consider cost constraint (CGA) and adaptive algorithm that only consider total task completion time by the simulation experiment.Experimental results show that this algorithm is a more effective task scheduling algorithm in the cloud computing environment.

关键词： cloud computing genetic algorithm task scheduling

作者: GE Junwei YUAN Yongsheng

作者单位: College of Computer Science and Technology Chongqing University of posts and Telecommunications Chongqing,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2135-2138

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）