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一种网格计算环境中的资源调度策略

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摘要 给出了一种网格计算环境中的资源调度策略和资源调度用例。
作者 邵超英
机构地区 甘肃省计算中心
出处 《甘肃科技》 2010年第1期30-31,共2页 Gansu Science and Technology
关键词 网格 网格计算 应用程序 资源调度
分类号 TP243 [自动化与计算机技术—检测技术与自动化装置]
  • 相关文献

参考文献7

  • 1丁箐,陈国良,顾钧.计算网格环境下一个统一的资源映射策略[J].软件学报,2002,13(7):1303-1308. 被引量：60
  • 2(美)JoshyJoseph,(美)CraigFellenstein著,战晓苏,张少华.网格计算[M]清华大学出版社,2005.
  • 3Atkinson M,Dialani V Guyl et al.Grid Database Accessand Integration;Requirements and Functionalities. GGF Document GFD.13 . 2003
  • 4de Roure,D,Jennings,N.R,and Shadbolt,N.TheSemantic Grid:A future e-science infrastructure. GridComputing:Making the Global Infrastructure a Reality . 2003
  • 5Paton N,Atk inson M,D ialant V,et a.l Database Access and Integra-tion Services on the G rid. UKe-Science Programm e Techn icalReportNumberUkeS- . 2002
  • 6FOSTER I.What is the grid?a three point checklist. http://www-fp.mcs.anl.gov/~Foster . 2005
  • 7I Foster,C Kesselman.The Grid 2: Blueprint for a New Computing Infrastructure. . 2003

二级参考文献14

  • 1[1]Foster, I., Kesselman, C. The Grid, Blueprint for a New Computing Infrastructure. San Francisco: Morgan Kaufmann Publishers Inc., 1998. 279～309.
  • 2[2]Czajkowski, K., Foster, I. A resource management architecture for metacomputing systems. In: Feitelson, D.G., Rudolph, L., eds. Proceedings of the 4th Workshop on Job Scheduling Strategies for Parallel Processing. LNCS 1459, Orlando: Springer-Verlag, 1998. 62～82.
  • 3[3]Sekiguchi, S., Sato, M. Ninf: network based information library for globally high performance computing. In: Proceedings of the Parallel Object-Oriented Methods and Applications (POOMA). 1996. 39～48. http://www.acl.lanl.gov/Pooma96/.
  • 4[4]Freund, R., Gherrity, M. Scheduling resources in multi-user, heterogeneous computing environments with Smarnet. In: Proceedings of the 7th Heterogeneous Computing Workshop (HCW'98), IEEE Computer Society Press, 1998. 184～199. http://dlib.computer. org/ conferen/ hcw/8365/pdf/83650003.pdf.
  • 5[5]Iverson, M., Ozguner, F. Dynamic, competitive scheduling of multiple DAGs in a distributed heterogeneous environment. In: Proceedings of the 7th Heterogeneous Computing Workshop (HCW'98). IEEE Computer Society Press, 1998. 70～78. http://dlib. computer. org/ conferen/hcw/8365/pdf/83650070.pdf.
  • 6[6]Wang, L., Siegel, H.J., Roychowdhury, V.P., et al. Task matching and scheduling in heterogeneous computing environments using a genetic algorithm based approach. Journal of Parallel and Distributed Computing, 1997,47(1):8～22.
  • 7[7]Foster, I., Roy, A., Winkler, L. A quality of service architecture that combines resource reservation and application adaptation. In: Proceedings of the 8th International Workshop on Quality of Service (IWQOS 2000). 2000. 181～188. http://www.globus.org/ documentation/ incoming/iwqos_adapt1.pdf.
  • 8[8]Armstrong, R., Hensgen, D., Kidd, T. The relative performance of various mapping algorithm is independent of sizable variance in run-time predictions. In: Proceedings of the 7th Heterogeneous Computing Workshop (HCW'98). IEEE Computer Society Press, 1998. 79～87. http://dlib.computer.org/conferen/hcw/8365/pdf/83650079.pdf.
  • 9[9]Braun, T.D., Siegel, H.J., Beck, N., et al. A comparison study of static mapping heuristics for a class of meta-tasks on heterogeneous computing systems. In: Proceedings of the 8th IEEE Heterogeneous Computing Workshop (HCW'99). IEEE Computer Society Press, 1999. 15～29. http://dlib.computer.org/conferen/hcw/0107/pdf/01070015.pdf.
  • 10[10]Maheswaran, M., Ali, S., Siegel, H.J., et al. Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems. In: Proceedings of the 8th IEEE Heterogeneous Computing Workshop (HCW'99). IEEE Computer Society Press, 1999. 30～44. http://dlib.computer.org/conferen/hcw/0107/pdf/01070030.pdf.

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2010年 第1期

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