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云计算中调度问题研究综述 被引量:47

Review of scheduling research in cloud computing
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摘要 云计算中资源、任务的调度对云计算的整体性能和运营发展有重要影响。主要讨论云计算中的调度方法和策略问题;归纳了云计算调度的目标与特点,指出了云计算调度研究的主要进展,并从三类调度目标侧重点出发,即以性能为中心、以服务质量为中心和以经济原则为中心,对当前调度研究现状进行了归纳;讨论了现有云计算平台所采用的调度策略,总结了现有调度研究中存在的问题。在此基础上从资源评估、任务建模、动态综合算法和兼顾调度双方利益等方面对云计算调度的研究前景进行了展望。 The scheduling of the resources and tasks in cloud computing have a major impact on the whole performance and operational development of cloud computing.This paper focused on scheduling methods and strategies in cloud computing.It generalized the scheduling objectives and characteristics of cloud computing,and pointed out the scheduling research progress of cloud computing.It summarized the status of the current scheduling research,and then divided it into three types from the focus point of scheduling objectives,which were performance center,quality of service centers and the center of economic principles.It also discussed the scheduling policy adopted by the existing cloud computing platform,and summed up the problems in the existing scheduling research.On this basis,it prospected the outlook of the scheduling in cloud computing from evaluating the resource,task model,dynamic integrated algorithm and taking into account interests of the scheduling both sides.
出处 《计算机应用研究》 CSCD 北大核心 2012年第11期4023-4027,共5页 Application Research of Computers
基金 广东省自然科学基金资助项目(06029274) 茂名市科技计划资助项目(2011008)
关键词 云计算 资源调度 QOS 经济原则 cloud computing resource scheduling QoS economic principles
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  • 1张晓杰,孟庆春,曲卫芬.基于蚁群优化算法的服务网格的作业调度[J].计算机工程,2006,32(8):216-218. 被引量:17
  • 2潘达儒,袁艳波.一种基于AntNet改进的QoS路由算法[J].小型微型计算机系统,2006,27(7):1169-1174. 被引量:6
  • 3MC EVOY G V, SCHULZE B. Using clouds to address grid limitations[C]//MGC'08. Belgium: Leuven Press, 2008.
  • 4IAN F, YONG Z. IOAN R, et al. Cloud computing and grid computing 360 Degree compared[C]//Grid Computing Environments Workshop. [s.l.]: IEEE, 2008.
  • 5HUAN L, DAN O. Accenture technology labs gridBatch: Cloud computing for large-scale data-Intensive batch[C] //CCGRID 2008. Shanghai:[s. n. ], 2008.
  • 6Amazon web services (TM). Amazon Elastic Compute Cloud (Amazon EC2)[EB/OL]. [2008-10-24]. http: //aws. amazon.com/ec2. 2008.
  • 7Amazon web services (TM). Amazon Simple Storage Service ( Amazon S3 ) [ EB/OL].[ 2008-10-24]. http:// aws. amazon.com/s3.
  • 8YANG C H, DASDAN A, HSIAO R L, et al. Map-reduce-merge. Simplified relational data processing on large elusters[C]//International conference on management of data. CA, USA: ACM SIGMOD, 2007.
  • 9GHEMAWAT S, GOBLOFF H, LEUNG S T. The google file system[C]//19th ACM Symposiun on Operating System 2003. New York: Association for Computing Machinery, 2009.
  • 10Wikipedia. Cloud computing [ EB/OL ]. (2007-03-03) [ 2008-12- 20]. http ://en. wikipedia, org/wiki/Cloud computing.

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