期刊文献+

基于改进粒子群算法的云计算资源调度模型的研究 被引量:5

Resource Schedule Model Base on Improved PSO in Cloud Computing
下载PDF
导出
摘要 为实现云计算资源的合理运用和负载均衡,提出了云计算资源的动态调度管理框架,设计了一种考虑各虚拟机资源数、各虚拟机性能,以及当前的负载情况的资源分配算法,实现了一种改进的粒子群算法的云计算资源动态调度模型.实验结果表明,此调度模型能有效改善动态资源的分配,提高云计算系统中资源的利用率. A dynamic dispatching management framework is proposed to implement the rational use and load balancing of the resource of cloud computing.A resource allocation algorithm is designed,which comprehensively applies PSO and considers the resource numbers and performance of each virtual machine and current loading conditions.An improved cloud computing resources dynamic scheduling model based on PSO is realized.The result of the experiment indicates that the scheduling system can improve the efficiency of dispatching service and the utilization ratio in the cloud computing system.
作者 赵宏伟
出处 《沈阳大学学报(自然科学版)》 CAS 2015年第6期507-511,共5页 Journal of Shenyang University:Natural Science
基金 辽宁省自然科学基金资助项目(2013020011)
关键词 分布式 云计算 粒子群 负载平衡 distributed cloud computing particle swarm load balance
  • 相关文献

参考文献6

二级参考文献65

  • 1Rochwerger B, Breitgand D, Levy E et al. The Reservoir model and architecture for open federated cloud computing. IBM Journal of Research and Development, 2009,53(4) : 1-17.
  • 2Daniel Nurmi, Rich Wolski, Chris Grzegorczyk et al. The eucalyptus open-source cloud computing system//Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid. 2009:124-131.
  • 3Armbrust M, Fox A, Griffith R et al. Above the clouds: A berkeley view of cloud computing. UC Berkley, USA: Technical Report No. UCB/EECS-2009-28, 2009:1-25.
  • 4Vaquero L M, Rodero-Merino L, Caceres Jet al. A break in the clouds: Towards a cloud definition. ACM SIGCOMM Computer Communication Review, 2009, 39(1): 50-55.
  • 5Irwin D, Chase J S, Grit L et al. Sharing networked resources with brokered leases//Proceedings of the USENIX Technical Conference. Boston, MA, USA, 2006:199-212.
  • 6Padala P, Shin K G, Zhu Xiao-Yun et al. Adaptive control of virtualized resources in utility computing environments//Pro ceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007. Lisbon, Portugal, 2007: 289-302.
  • 7Schroeder B, Gibson G A. A large-scale study of failures in high-performance computing systems//Proceedings of DSN2006. Philadelphia, Pennsylvania, USA, 2006:249-258.
  • 8Heath T, Martin R P, Nguyen T D. Improving cluster avail- ability using workstation validation//Proeeedings of the ACM SIGMETRICS. Marina Del Rey, California, USA, 2002. 217-227.
  • 9Tai A T, Tso K S, Sanders W H et al. Chau: A performability-oriented software rejuvenation framework for distributed applicatioas//Proceedings of the 35th DSN 2005. Yokohama, Japan, 2005.570-579.
  • 10Vaidyanathan K, Harper R E, Hunter S W et al. Analysis and implementation of software rejuvenation in cluster systems//Proceedings of the ACM SIGMETRICS 2001. Cambridge, MA, USA, 2001. 62-71.

共引文献251

同被引文献51

引证文献5

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部