A Novel Dynamic Task Scheduling Algorithm Based on Improved Genetic Algorithm in Cloud Computing

被引：29
|
作者：
Ma, Juntao [1 ]
Li, Weitao [1 ]
Fu, Tian [1 ]
Yan, Lili [1 ]
Hu, Guojie [1 ]
机构：
[1] Hainan Coll Software Technol, Qionghai 571400, Peoples R China
来源：
WIRELESS COMMUNICATIONS, NETWORKING AND APPLICATIONS, WCNA 2014 | 2016年 / 348卷
关键词：
Cloud computing; Improved genetic algorithm; Dynamic task scheduling algorithm; Virtual computing environment;
D O I：
10.1007/978-81-322-2580-5_75
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Task scheduling method of cloud computing is the key step to achieve its high performance computing. In order to effectively solve the problem of task scheduling in cloud computing, this paper proposes a novel dynamic task scheduling algorithm based on improved genetic algorithm. On the basis of the genetic algorithm, the proposed algorithm gives full consideration to the dynamic characteristics of the cloud computing environment. The CloudSim simulation platform is selected for simulation; experimental results show that the proposed algorithm can effectively improve the throughput of cloud computing systems, and can significantly reduce the execution time of task scheduling.
引用
收藏
页码：829 / 835
页数：7
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