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一种网格资源动态分配算法研究 被引量:3

An Algorithm of Dynamic Resource Allocation in Grid Environment
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摘要 在分布式集群环境中,如何对网格环境中的资源进行有效管理和合理调度至关重要。采用静态固定资源分配等策略不能适应资源和用户请求的动态变化,容易产生资源碎片,造成网格资源利用率低等问题。提出了一种基于分类挖掘的资源动态分配模型和算法,通过资源管理服务器中的守护进程,对集群中的任务动作进行分类挖掘,形成分类规则,用以指导资源的动态分配。实验证明,相比其他分配策略和算法,DRA算法能较好地适应网格环境的变化,具有资源分配利用率高等优点。 It is important to manage and allocate the resources effective in a distributed cluster environ-ment. Static resource allocation strategy can not meet the requirements of resources and requests' dynamic changes. It can produce some resource fragmentation in the resource pool, resulting in low utilization of grid resources. Classification mining models and algorithms about dynamic resources allocation are pro-posed. There is a process in every resource management server, mining the classification rules in the cluster based on history data and executing resource allocation based on these rules. Experiments show that DRA algorithm can better adapt to the changes in the grid strategies and algorithms, and it can increase resources utilizati environment compared to other allocation on in dynamic environment.
出处 《中山大学学报(自然科学版)》 CAS CSCD 北大核心 2013年第2期47-51,共5页 Acta Scientiarum Naturalium Universitatis Sunyatseni
基金 国家自然科学基金资助项目(61162008) 广西自然科学基金资助项目(2011GXNSFB018072)
关键词 分类挖掘 网格 资源 动态分配 集群 classification data mining grid resource dynamic resource allocation cluster
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参考文献10

  • 1王观玉.网格计算中任务调度算法的研究和改进[J].计算机工程与科学,2011,33(10):186-190. 被引量:15
  • 2郑志蕴,赵甜,张勇涛.网格环境下改进PSO算法的资源分配研究[J].计算机工程,2011,37(1):178-180. 被引量:2
  • 3严大鹏,杜学东.网格资源分配算法的研究[J].计算机工程与应用,2008,44(29):135-137. 被引量:3
  • 4王璞,彭玲.一种新的经济网格计算任务调度控制模型[J].计算机科学,2008,35(3):106-108. 被引量:7
  • 5NETI'O M A S, VECCHIOLA C, KIRLEY M, et al. Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications [ J ]. Journal of Parallel and Distributed Computing, 2011,71 (5) :1388 - 1399.
  • 6NETYO M A S, BUYYA B. Offer-based scheduling of deadline-constrained bag-of-tasks applications for utility computing systems [ C ]//Parallel & Distributed Process- ing, 2009:1 - 11.
  • 7NETrO M A S, BUYYA B. Rescheduling co-allocation requests based on flexible advance reservations and pro- cessor remapping [ C ]//9th Grid Computing Conference, 2008:144 - 150.
  • 8LI J Y, QIU M K, MING Z, et al. Online optimization for scheduling preemptable tasks on IaaS cloud systems [ J ]. Journal of Parallel and Distributed Computing, 2012, 72(2): 666-677.
  • 9YE Y, CHIANG C C. A parallel apriori algorithm for fre- quent itemset mining [ C ]//Fourth International Confer- ence on Software Engineering Research, Management and Applications,2006 : 87 - 94.
  • 10LEE Y C, WANG C, ZOMAYA A Y, et al. Profit-driv- en scheduling for cloud services with data access aware- ness [ J]. Journal of Parallel and Distributed Computing, 2011,71 (12) :591 - 602.

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