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网格计算基本原理及其系统管理关键技术问题 被引量：5

Principles and Key Technologies of Grid Computing
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摘要 网格计算可以充分利用网络资源,为海量计算用户提供集成方便的数据处理服务,文章从网格计算的基本概念和工作原理介绍入手,分析了资源管理、任务调度、服务质量和安全性等网格计算的关键技术问题,并对其技术应用与发展现状进行总结。 Grid computing can improve the utilization of Based gird on description of the concepts and principles of grid resource, provide integrated services computing, the key technologies and computing are analyzed, including resource management, job scheduling, quality of service for customer. progresses of and security.
作者 林晓鹏 李晓潮 郭东辉
机构地区 厦门海洋职业技术学院 厦门大学物理系 厦门大学电子工程系
出处 《通信技术》 2009年第2期218-220,共3页 Communications Technology
关键词 网格计算 关键技术 资源管理 grid computing key technologies resources management
分类号 TP309 [自动化与计算机技术—计算机系统结构]
  • 相关文献

参考文献8

  • 1Foster I, Kesselman C. The Grid: Blueprint for a new Computing Infrastructure[M]. Morgan Kaufmann, San Fransisco, CA, 1999.
  • 2郁志辉 陈渝 刘鹏编.网格计算[M].北京:清华大学出版社,2002,10..
  • 3Bart Jacob, Michael Brown, Kentaro Fukui, Nihar Trivedi. Introduction to Grid Computing[C]. http://www.redbooks. ibm. com/redbooks/pdfs/sg246778.pdf.
  • 4Ian Foster. What is the Grid? A Three Point Checklist[J]. GRIDToday, July 20, 2002.
  • 5Ian Foster, C Kesslman, J M Nick, S Tuecke. The Physiology of the Grid-An Open Grid Services Architecture for Distributed System Integration[J]. In Processings: Open Grid Service Infrastructure WG, Global Grid Forum, 2002. http://www. globus.org/alliance/publications/papers/ogsa. pdf.
  • 6Nash JF. Non-Cooperative games. Annals of Mathematics[J], 1951, 54(2) :286-295.
  • 7Buyya R, Abramson D, Giddy J, et al. Economic Models for Resource Management and Scheduling in Grid Computing[J]. The Journal of Concurrency and Computation: Practice and Experience (CCPE), Wiley Press, May 2002.
  • 8Osborne M J. An Introduction to Game Theory[M]. Oxford, 2004.

共引文献20

同被引文献59

  • 1李志洁,程春田,黄飞雪,李欣.一种基于序贯博弈的网格资源分配策略[J].软件学报,2006,17(11):2373-2383. 被引量：27
  • 2李忠哗,吴聪聪,戴维迪,何丕廉.基于频繁模式矩阵的最大频繁项目集挖掘算法[J].计算机应用与软件,2007,24(7):45-46. 被引量：7
  • 3Foster I, Kesselman C. The grid: blueprint for a new computing infrastructure. Morgan Kanfmann, San Fransisco Publisher, CA, 1999.
  • 4Czajkowski K, Foster I, Karonis N, et al. A resouce management architecture for metaeomputina system. In: The 4th Workshop on Job Scheduling Strategies for Parallel Processing, Orlando, FL, March 30, 1998.
  • 5Foster I, Kesselman C, Tuecke S. The anatomy of the grid: enabling scalable virtual organizations. International Journal of High Performance Computing Applications, 2001 (15): 200- 222.
  • 6Buyya R. Economic-base distributed resource management and scheduling for grid computing. Ph D Thesis, Monash University, Australia, 2002.
  • 7Rajkumar Buyya, Srikumar Venugopal, Rajiv Ranjan, et al. The gridbus middleware for market-oriented computing, market oriented Grid and utility computing. Wiley Press, Hoboken, New Jersey, USA, 2009.
  • 8Jia Yu, R Buyya. Market-oriented grids and utility computing: the state-of-the-art and future directions. Grid Computing, 2008 (6): 255-276.
  • 9Chee Shin Yeo, Srikumar Venugopal, Xingchen Chu, et al. Autonomic metered pricing for a utility computing service, future generation computer systems. Elsevier Science, Amsterdam, The Netherlands, 2009.
  • 10Wolski R, Brevik J, Plank J S, et al. Grid resource allocation and control using computational economics. Grid Computing: Marking the Global Infrastructure a Reality, Wiley and Sons, 2003.

引证文献5

二级引证文献8

通信技术
2009年 第2期

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