计算机应用研究Issue(5)：1395-1398,4.DOI:10.3969/j.issn.1001-3695.2015.05.029
一种改进的 Hadoop 多用户作业调度方法
Improved method in solving Hadoop multi-user scheduling
曹书豪 1张昌宏 1麻旻2
作者信息
- 1. 海军工程大学 信息安全系，武汉 430033
- 2. 海军蚌埠士官学校，安徽 蚌埠 233012
- 折叠
摘要
Abstract
Aiming at the job scheduling method of Hadoop operation service level is not high,and the low utilization rate of resources problem,this paper proposed an improved Hadoop multiuser scheduling algorithm.Firstly,it analyzed the shortcom-ings existed in Hadoop scheduling algorithm.Then put forward a job selection method based on the quality of service,and a task selection equalization method based on genetic algorithm.Finally,it simulated the algorithm by using the Hadoop plat-form.The simulation results show that,the resource scheduling method improves the operation quality of service,to achieve a reasonable scheduling of resources.关键词
Hadoop/云计算/作业调度/服务质量/遗传算法Key words
Hadoop/cloud computing/job scheduling/quality of service(QoS)/genetic algorithm(GA)分类
信息技术与安全科学引用本文复制引用
曹书豪,张昌宏,麻旻..一种改进的 Hadoop 多用户作业调度方法[J].计算机应用研究,2015,(5):1395-1398,4.
