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云应用资源交付与分裂聚类调度方法 被引量:5

Approach of Cloud Application Resource Provision and Split Clustering Schedule
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摘要 针对私有云环境中资源交付与调度的高效实现问题,提出一种面向云应用的资源交付调度及实现方法。该方法以云应用元模型为核心,根据模型中虚拟机间数据交互特征生成最小生成树,采用图论分裂聚类算法拆分虚拟机集合并映射物理主机。通过对比分析面向虚拟机调度的实验数据,证明该方法能在提升云应用整体性能的同时降低云应用对物理网络设备及带宽资源的占用。 Efficient resource provision and schedule is the key to build a private cloud environment.This paper presents a resource provision and schedule approach based on the proposed cloud application meta-model for cloud applications in a private cloud environment.It creates a minimum spanning tree according to the characteristics among virtual machines,and splits the set of virtual machines and maps them to the physical hosts by using the graph theory based on split clustering algorithm.The experiments and comparative analysis of the method for virtual machines show that the approach is efficient in enhancing the overall performance of cloud applications while reducing the consumption of physical network equipments and bandwidth resources.
出处 《计算机工程》 CAS CSCD 北大核心 2011年第11期52-55,共4页 Computer Engineering
基金 国家"973"计划基金资助项目"云应用软件架构技术基础研究基金资助项目"(2010CB735907) "核高基"科技重大专项基金资助项目"网络化应用支撑工具"(2011ZX01043-001-001) 电子信息产业发展基金资助项目"SaaS服务(通用管理)综合支撑平台" 大连高新技术产业园区科技创新基金资助项目"面向云计算的企业应用平台"
关键词 云计算 云应用 基础设施服务 调度策略 云服务代理 分裂聚类 cloud computing cloud application Infrastructure as a Service(IaaS) schedule policy cloud service broker split clustering
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参考文献8

  • 1Maui Administrator's Guide[EB/OL].(2010-05-16).http://www.adaptive computing.com/resources.
  • 2Mell P,Grance T.The NIST Definition of Cloud Computing[Z].National Institute of Standards and Technology,2011.
  • 3Irwin D,Chase J,Grit L.Sharing Networked Resources with Brokered Lease[C] //Proc.of USENIX Technical Conference.Boston,USA:USENIX,2006.
  • 4Sotomayor B,Montero R S,Foster I.Resource Leasing and the Art of Suspending Virtual Machines[C] //Proc.of the 11th IEEE International Conference on High Performance Computing and Communications.Seoul,Korea:IEEE.Press,2009.
  • 5Sotomayor B,Montero R S,Foster I.Virtual Infrastructure Management in Private and Hybrid Clouds[J].IEEE Internet Computing,2009,13(5):14-22.
  • 6Sotomayor B.The Haizea Manual[EB/OL].(2010-05-19).http://haizea.cs.uchicago.edu/.
  • 7舒畅,吴庆波,谭郁松.虚拟化下域间服务过程分离机制的研究[J].计算机工程,2010,36(17):270-273. 被引量:1
  • 8Jain A K,Murty M N,Flynn P J.Data Clustering:A Review[J].ACM Computing Surveys,1999,31(3):264-323.

二级参考文献4

  • 1Garfinkel T,Pfall B,Chow J.Terra:A Virtual Machine-based Platform for Trusted Computing[C] //Proc.of the 19th ACM Symposium on Operating Systems Principles.[S.l.] :ACM Press,2003:193-206.
  • 2Peinado M,Chen Yuqun,England P.NGSCB:A Trusted Open System[C] //Proc.of the 9th Australasian Conference on Information Security and Privacy.Berlin,Germany:Springer,2004:86-97.
  • 3Min R T,Litty L,Lie D.Spliting Interfaces:Making Trust Between Applications and Operating Systems Configurable[C] //Proc.of the 7th Symposium on Operating Systems Design and Implementation.Berkeley,California,USA:USENIX Association,2006:279-292.
  • 4Neiger G,Santoni A,Leung F.Intel Virtualization Technology:Hardware Support for Efficient Processor Virtualization[J].Intel Technology Journal,2006,10(3):167-178.

同被引文献40

  • 1代钰,杨雷,张斌,高岩.支持组合服务选取的QoS模型及优化求解[J].计算机学报,2006,29(7):1167-1178. 被引量:91
  • 2Vaquero L, Rodero Marino L, Cacerce J, et al. A break in the clouds: towards a cloud definition [J]. SIGCOMM Computer Communication Review, 2009, 39 (1) : 50 - 55.
  • 3Mauro Andreolini, Sara Casolari, Michele Colajanni. Dynamic load management of virtual machines in a cloud architecture [J]. Department of Information Engineering, 2010 201 - 204.
  • 4Vaquero L, Rodero Marino L, Cacerce J, et al. A break in the clouds: towards a cloud definition [J] SIGCOMM Computer Corn munication Review, 2009, 39 (1) : 50 - 55.
  • 5Mauro Andreolini, Sara Casolari, Michele Colajanni. Dynamic load management of virtual machines in a cloud architecture[J]. Depart- ment of Information Engineering, 2010 201 - 204.
  • 6Armbrust M, Fox A, Griffith R, et al. Above the Clouds: a Berke ley View of Cloud Computing [R]. EECS Department, University of California, Berkeley, 2009.
  • 7Zhao L, Liu A, Keung J. Evaluating cloud platform architecture with the CARE framework [A]. Proceedings of APSEC[C] 2010: 60-69.
  • 8Liman N, Boutaba R. Assessing software service quality and trust worthiness at selection time [J]. IEEE Transactions on Software Engineering, 2010, 36 (4).. 559-574.
  • 9Hu C H, Wu M, Liu G P. QoS scheduling algorithm based ON hybrid particle swalm optimization strategy for Web services workflow EA~. 6th International Conference Oil Grid and Cooperative Computing [C]. Piscataway: IEEE Computer Socies, 2007. 330 - 337.
  • 10Buyya R,Yeo C S,Venugopal S,et al.Cloud computingand emerging IT platforms:vision,hype,and reality fordelivering computing as the 5th utility[J].Future GenerationComputer Systems,2009,25(6):599-616.

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