吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于业务统一部署与管理的资源调度算法

张彬1, 李卫平2, 王晋2   

  1. 1. 湖南科技学院 电子与信息工程学院, 湖南 永州 425199; 2. 铁道警察学院 公安技术系, 郑州 450053
  • 收稿日期:2016-06-24 出版日期:2017-05-26 发布日期:2017-05-31
  • 通讯作者: 张彬 E-mail:zhang_bin78@sina.com

Resource Scheduling Algorithm Based on UnifiedDeployment and Business Management

ZHANG Bin1, LI Weiping2, WANG Jin2   

  1. 1. School of Electronics and Information Engineering, Hunan University of Science and Engineering, Yongzhou 425199,Hunan Province, China; 2. Department of Police Technology, Railway Police College, Zhengzhou 450053, China
  • Received:2016-06-24 Online:2017-05-26 Published:2017-05-31
  • Contact: ZHANG Bin E-mail:zhang_bin78@sina.com

摘要: 针对当前资源调度算法无法满足业务多样化要求的问题, 提出一种基于业务统一部署与管理的云计算资源调度算法. 首先, 对各业务进行分类和统一管理, 根据业务变化实时调整资源需求; 然后, 通过业务的软约束、 硬约束之间的转化以适应业务多样化要求; 最后, 通过仿真实验测试算法的有效性和优越性. 实验结果表明, 相比于其他算法, 该算法大幅度提高了云计算系统资源的利用率, 可以满足实际应用的要求.

关键词: 匹配建模, 资源调度, 用户业务, 统一部署, 云计算系统

Abstract: Aiming at the problem that the current resource scheduling algorithm could not meet the requirements of business diversification, we proposed a cloud computing resource scheduling algorithm based on unified deployment and business management. Firstly, business was classified and unified management according to business change in real time to adjust resource requirements. Secondly, transformation between soft constraints and hard constraints of business was used to adapt to requirements of business diversification. Finally, the validity and superiority of the algorithm was tested by simulation experiment. The experimental results show that compared with other algorithms, the proposed algorithm can greatly improve utilization rate of cloud computing system resources, and  meet the requirements of practical applications.

Key words: unified deployment, matching modeling, user service, resource scheduling, cloud computing system

中图分类号: 

  • TP316