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基于网格资源随机性的信任调度模型

Study of grid resource trust schedule model stochastic-based
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摘要 在网格社区[1]中,建立一个共享资源间的好的协作关系,是网格的基础研究课题。网格资源的局部自治性,动态性,随机性,都要求建立一个安全的有效的机制。首先分析了网格的资源随机性和动态性特点,将资源进行分类,提出了资源分级的概念,实现了基于随机性的高可用信任调度算法以便提供稳定可靠的QoS。 Building a share resource cooperation relation in grid community is the fundamental and challenging research topic because of localize autonomous,dynamical,stochastic,and absence of an effective security mechanism,it lies at the core of interactions between the consumer and provider that have to operate in such uncertain and constantly changing environments.This paper defines the concept of ResourceRank,and analyzes the stochastic feature of grid,integrates trust into the resource schedule. And presents the Stochastic-based high available schedule model for providing the steady credible QoS.
出处 《计算机工程与应用》 CSCD 北大核心 2007年第25期124-127,共4页 Computer Engineering and Applications
基金 国家自然科学基金(the National Natural Science Foundation of China under Grant No.90412010) 。
关键词 网格计算 随机性 信任调度模型 QOS ResourceRank grid computing stochastic trust schedule model QoS ResourceRank
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参考文献6

  • 1Foster I,Kesselman C,Tuecke S.The anatomy of the grid:enabling scalable virtual organizations[J].International Journal of Supercomputer Applications,2001,15(3).
  • 2De Roure D,Baker M A,Jennings N R,et al.The evolution of the grid.Research Agenda,UK National eScience Center,2002.
  • 3Jennings N R.Building complex software systems[J].Communications of the ACM,2001,44(4).
  • 4Krauter R B K,Maheswaran M.A taxonomy and survey of grid resource management systems[J].Software Practice and Experience,2002,32(2):135-164.
  • 5Foster I,Kesselman e C.Computational grids:the future of high performance distributed distributed computing[M].[S.l.]:Morgan Kaufmann,1998.
  • 6Thompson M H,M R.Security implications of typical grid computing usage scenarios[C]//Proc of Intl Symp on High performance Distributed Computing(HPDC),San Francisco,CA,Aug.7-9,2001.

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