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基于多路径遍历优先选择的虚拟资源调度算法 被引量:6

Virtual Resources Dispatching Algorithm Based on Multipath Traversal Priority Selection in Cloud Computing
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摘要 随着电力系统对计算和存储能力要求越来越高,以虚拟化为核心的"云计算"成为未来智能电网的发展趋势。虚拟资源调度是云计算的关键技术之一。提出一种基于多路径遍历优先选择的虚拟资源调度算法,通过构建任务有向无环图和有限虚拟机的无向图,采用路径遍历与任务优先顺序确定、待调度任务选择、虚拟资源规划,以及物理资源申请与分配等方法,在保证用户提交任务的性能需求前提下,提高资源调度效率,降低系统运营成本。 With the increasing demands on processing and storaging capability of power system computation, the virtualized cloud computing has become the development trend for future smart grid, in which virtual resource dispatching is one of the key technologies. So, a novel heuristic algorithm for virtual resources dispatching based on multipath traversal priority selection was presented. By constructing the task of DAGs and undirected graph for finite virtual machines and applying numbers of methods, such as the path traversal and task priority setting, the scheduled task selection, virtual resource planning and application and allocation of the physical resource, the proposed algorithm can effectively increase the dispatching efficiency and reduce system operation cost on the premise of satisfying the performance requirements of the committed tasks.
作者 徐兵元 张羿
出处 《中国电力》 CSCD 北大核心 2014年第8期139-143,共5页 Electric Power
关键词 智能电网 云计算 虚拟资源 调度 路径优先选择 建模 算法 smart grid cloud computing virtual resources dispatching path priority selection modeling algorithm
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  • 1孙瑞锋,赵政文.基于云计算的资源调度策略[J].航空计算技术,2010,40(3):103-105. 被引量:43
  • 2尹红军,李京,宋浒,李凌.云计算中运营商效益最优的资源分配机制[J].华中科技大学学报(自然科学版),2011,39(S1):51-55. 被引量:13
  • 3米勒.云计算[M].史美林,姜进磊,孙瑞志,等译.北京:机械工业出版社,2009:125-128.
  • 4WEI Q, FLUECK A J, FENG T. A new parallel algorithm for security constrained optimal power flow with a nonlinear interior point method// Proceedings of IEEE PES General Meeting, July 12-15, 2005, San Francisco, CA, USA: 447- 453.
  • 5LIANG C H, CHUNG C Y, WONG K P, et al. Parallel optimal reactive power flow based on cooperative co- evolutionary differential evolution and power system decomposition. IEEE Trans on Power Systems, 2007, 22(1):249-257.
  • 6ALI M, DONG Z Y, LI X, et ah A grid computing based approach for probabilistic load flow analysis// Proceedings of IET International Conference on Advances in Power System Control, Operation 'and Management, October 30-November 2, 2006, Hong Kong, China.
  • 7WANG H, LIU Y. Power system restoration collaborative grid based on grid computing environment// Proceedings of IEEE PES General Meeting, July 12 16, 2005, San Francisco, CA, USA: 644-649.
  • 8ZHOU H F, WU F F, NI Y X. Design for grid service-based future power system control centers// Proceedings 05 IET International Conference on Advances in Power System Control, Operation and Management, October 30-November 2, 2006, Hong Kong, China.
  • 9TAYLOR G A, IRVING M R, HOBSON P R, et al. Distributed monitoring and control of future power systems via grid computing// Proceedings of IEEE PES General Meeting, June 17-23, 2006, Montreal, Canada.
  • 10ZHANG P, LEE T, SOBAJIC D. Moving toward probabilistic reliability assessment methods// Proceedings of Eighth International Conference on Probabilistic Methods Applied to Power Systems, September 12-14, 2004, Ames, IA, USA: 906- 913.

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