期刊文献+

云计算模拟器研究综述

Survey on cloud computing simulator
下载PDF
导出
摘要 基于因特网平台研究云计算受到地理位置、网络环境等因素的诸多限制,因此采用云计算模拟器研究云计算具有重要意义。主要介绍了3种现有的云计算数据中心资源调度模拟器CloudSim、CloudAnalyst和CloudSched以及基于这3种模拟器的资源调度算法,最后介绍了云计算模拟器的研究热点。 Research of cloud computing data centers based Internet platform is restricted by geographical location , network environment and other factors, so researching cloud computing by cloud computing simulator is significant. The paper firstly presents three current cloud computing data center resources scheduling simulators CloudSim, CloudAnalyst and CloudSched. Then It proposes some resources scheduling algorithms based on these three simulators. At last, the hot research areas for the cloud computing simulator are introduced in the future.
出处 《微型机与应用》 2014年第11期4-7,11,共5页 Microcomputer & Its Applications
基金 山东省优秀中青年科学家科研奖励基金(BS2010DX032)
关键词 云计算 云计算模拟器 资源调度 cloud computing cloud computing simulator resources scheduling
  • 相关文献

参考文献21

  • 1CALHEIROS R N,RANJAN R,BUYYA R,et al.CloudSim:a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms[J].Software:Practice and Experience,2011,41(1):23-50.
  • 2BUYYA R,RANJAN R,CALHEIROS R.Modeling and simulation of scalable cloud computing environment and the cloudSim toolkit:challenges and opportunities[A].Proceedings of the 7th High Performance Computing and Simulation Conference[C].Germany:IEEE,2009:21-24.
  • 3CALHEIROS R N,RANJAN R.CloudSim:A novel framework for mode ling and simulation of cloud computing infrastructures and services[R/OL].[2014-2-20]http://www.buyya.com/gridbus/reports/CloudSim-ICPP2009.pdf.
  • 4WICKREMASINGHE B,PROF A,BUYYA R CloudAnalyst:A cloudSim-based tool for modelling and analysis of large scale cloud computing environments[J].IEEE Computer Society,2010,AINA:446-452.
  • 5TIAN W,ZHAO Y,XU M,et al.A Toolkit for modeling and simulation of real-time virtual machine allocation in a cloud data center[J].Automation Science and Engineering,2013,1(99):1545-5955.
  • 6BELOGLAZOV A,BUYYA R.Energy efficient allocation of virtual machine in cloud data centers[C].2010 10th IEEE/ACM International Conference on Cluster,Cloud and Grid Computing.Washington DO IEEE ComputerSociety,2010:577-578.
  • 7BELOGLAZOV A,BUYYA R.Energy efficient resource management in virtualized cloud data centers[C].Proceedings of the 10th IEEE/ACM International Conference on Cluster,Cloud and Grid Computing.Melbourne:IEEE,2010:826-831.
  • 8WICKREMASINGHE B,CALHEIROS R N,BUYYA R.CloudAnalyst:A cloudSim-based visual modeller for analysing cloud computing environments and applications[A].Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications.Perth:IEEE,2010:446-452.
  • 9TIAN W H,LU G.Analysis of integrated scheduling algorithms for resources in cloud datacenters[C].Technical Report,University of Electronics and Science Technology of China,2010:9.
  • 10郑洪源,周良,吴家祺.WEB服务器集群系统中负载平衡的设计与实现[J].南京航空航天大学学报,2006,38(3):347-351. 被引量:25

二级参考文献61

  • 1杜晓丽,蒋昌俊,徐国荣,丁志军.一种基于模糊聚类的网格DAG任务图调度算法[J].软件学报,2006,17(11):2277-2288. 被引量:48
  • 2Foster I, Zhao Y, Raicu I, et al. Cloud computing and grid com- puting 360-degree compared[ A]. Proc of the Grid Computing Environments Workshop, GCE 2008 [ C ]. New York: IEEE, Press, 2008.1 - 10.
  • 3Buyya R, Yeo C S, Venugopal S, et al. Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility [ J ]. Future Generation Computer Systems,2009,25(6) :599 - 616.
  • 4Armbrust M, Fox A, Griffith R, et al. A view of cloud computing[J]. Communications of the ACM,2010,53(4) :50 - 58.
  • 5Mell P, Grance T. The NIST definition of cloud computing[J]. Communications of the ACM,2010,53(6) :50.
  • 6Wei G Y, Vasilakos A V, Zheng Y, et al. A game-theoretic method of fair resource allocation for cloud computing services [ J] .Journal of Supercomputing,2010,54(2) :252 - 269.
  • 7Zhao G, Liu J, Tang Y, et al. Cloud computing: A statistics aspect of users[ A]. Proc of the First International Conference of Cloud Computing, CloudCom 2009 [ C ]. Heidelberg: Springer Verlag Press, 2009. 347 - 358.
  • 8Shen X, Guo Y, Chen Q, et al. A multi-objective optimization evolutionary algorithm inciting preference information based on fuzzy logic[J]. Computational Optimization and Ap- plications, 2010,46( 1 ) : 159 - 188.
  • 9Ulker E,Arslan A.Automatic knot adjustment using an artificial immune system for B-spline curve approximation[ J]. Information Sciences,2009,179(10) : 1483 - 1494.
  • 10CJao X Z,Wang X,Ovaska S J. Fusion of clonal selection algorithm and differential evolution method in training cascade- correlation neural network [ J ]. Neurocomputing, 2009,72 ( 10 - 12) :2483 - 2490.

共引文献183

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