计算机工程

所属专题: 云计算专题

• 云计算专题 • 上一篇    下一篇

基于负载均衡的医院云计算系统资源调度方案

朱炜  1,王俊  2,周迅钊  2   

  1. (1.江苏大学附属医院 医学工程部,江苏 镇江 212000; 2.南京理工大学 计算机科学与工程学院,南京 210094)
  • 收稿日期:2017-01-03 出版日期:2018-03-15 发布日期:2018-03-15
  • 作者简介:朱炜(1978—),男,工程师,主研方向为云计算;王俊、周迅钊,硕士研究生。
  • 基金项目:

    国家自然科学基金(61671244)。

Hospital Cloud Computing System Resource Scheduling Scheme Based on Load Balancing

ZHU Wei  1,WANG Jun  2,ZHOU Xunzhao  2   

  1. (1.Medical Engineering Department,Affiliated Hospital of Jiangsu University,Zhenjiang,Jiangsu 212000,China; 2.School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)
  • Received:2017-01-03 Online:2018-03-15 Published:2018-03-15

摘要:

医院云计算系统存在需求的不确定性和节点资源的异构性问题,导致节点的负载失衡。为此,提出一种新的医院云计算系统资源调度方案。该方案基于混合蛙跳算法设计,并针对混合蛙跳算法容易陷入局部最优解的不足,给出一种基于讨论机制混合蛙跳算法改进的医院云计算系统资源调度方案,通过增加自适应讨论次数,提高算法的搜索能力。仿真实验结果表明,与传统负载均衡方案相比,该方案具有更好的负载均衡度性能,可解决混合蛙跳算法陷入局部最优的问题。

关键词: 医院云计算系统, 负载均衡, 混合蛙跳算法, 资源调度, 讨论机制

Abstract:

Hospital cloud computing system has the problems of demand uncertainty and heterogeneity of nodes,which causes load imbalance.Therefore,a load balancing hospital cloud computing system resource scheduling scheme is proposed.The scheme is based on the hybrid leapfrog algorithm,aiming at the problem that the hybrid leapfrog algorithm is easy to fall into the local optimal solution,a resource scheduling scheme of the hospital cloud computing system based on the discussion mechanism leapfrog algorithm is proposed.By increasing the number of self-adaptive discussions,the search capability of the algorithm is improved.Simulation results show that the proposed scheme has better performance of load balancing than the traditional load balancing scheme and can solve the problem that the hybrid leap frog algorithm falls into local optimum.

Key words: hospital cloud computing system, load balancing, hybird leapfrog algorithm, resource scheduling, discussion mechanism

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