期刊文献+

基于遗传算法的网格任务调度研究 被引量:2

Scheduling of Task for Grid Based on Genetic Algorithm
下载PDF
导出
摘要 网格调度是一个典型的NP问题,研究表明遗传算法是解决复杂环境下资源调度的有效方法之一。针对异构环境下的网格任务调度,提出了一种改进的遗传算法,并改进了遗传算法的收敛特性,通过分析实验结果证明该算法优于传统的调度算法。 Grid service scheduling is a NP problem that difficult to be solved by means of classic algorithms. Much research found that GA algorithm is one of the effective methods to solve the problem of resource scheduling under complicated environment. An improved genetic algorithm is addressed in connection with grid tasks scheduling of heterogeneous environment. Experiment results prove it is available and better than some traditional algorithms as a conclusion; The future work is also pointed out.
作者 杨琴 王海瑞
出处 《山西电子技术》 2009年第1期95-96,共2页 Shanxi Electronic Technology
关键词 网格 遗传算法 任务调度 grid genetic algorithms tasks scheduling
  • 相关文献

参考文献3

  • 1Jonson W E,Gannon D,Nitzberg B.Information Power Grid Implement Plan:Research,Development,and Testbeds for High Performance,Widely Distributed,Collabrative,Computing and Information System Supporting Science and Engineering[OL].NASA Ames Research center,http://www.nas.nasa.gov/IPQ.1999.
  • 2Karonls NT,Tonnen B,Foster I.MPICH-G2:A Grid-Enabled Implementation of the Message Passing Interface[J].In Journal of Parallel (JPDC),2003,163(5):551-563.
  • 3都志辉,李三立,陈渝,刘鹏,黄震春,何川,方兴.网格计算及其原型实现研究[J].计算机科学,2002,29(8):1-5. 被引量:14

二级参考文献18

  • 1Foster I. Internet Computing and the Emerging Grid. Nature Web Matters, 7 December 2000. http://www. nature. com/na ture/webmatters/grid/grid. html
  • 2Foster I, Kesselman C. TheGrid: Blueprint for a New Comput ing Infrastructure. Morgan Kaufmann, San Fransisco, CA, 1999. http://www. gridforum. org/, http://www. ccgrid. org/
  • 3Foster I, Kesselman C. Computational Grids: The Future of High-Performance Distributed Computing. Morgan Kaufmann Publishers, 1998
  • 4Smarr L, Catlett C. Metacomputing. Communication of the ACM,1992,35(6):44~52
  • 5NCSA Project. http://www. ncsa. uiuc. edu/
  • 6NPACI Project. http://www. npaci. edu/
  • 7Johnston W E, Gannon D,Nitzberg B. Information Power Grid Implementation Plan: Research, Development, and Testbeds for High Performance, Widely Distributed, Collaborative, Comput ing and Information Systems Supporting Science and Engineering. NASA Ames Research Center. http://www. nas. nasa. gov/ IPG, 1999
  • 8ASCI Project. http://www. lanl. gov/projects/asci/asci. html,http://www. llnl. gov/asci/, http://www. sandia. gov/ASCI/,http ://www. sandia. gov/ASCI/, http ://www. lanl. gov/asci/,http://www. lanl. gov/projects/asci/asci. html
  • 9European Grid Forum. http://www. egrid. org/
  • 10Foster I,Kesselman C. Globus: A Metacomputing Infrastructure Toolkit. Intl. J. of Supercomputer Applications, 1997,11 (2): 115 ~ 128. The Globus project. http://www. globus. org/

共引文献13

同被引文献16

  • 1刘海迪,杨裔,马生峰,李廉.基于分层遗传算法的网格任务调度策略[J].计算机研究与发展,2008,45(z1):35-39. 被引量:12
  • 2罗耀明,聂规划.基于小生境遗传算法的网格节点资源研究[J].武汉理工大学学报,2006,28(10):101-103. 被引量:2
  • 3薛胜军,马廷淮,刘文杰.Globus Toolkit4:Java网格服务编程[M].北京:清华大学出版社,2009:208-230.
  • 4Braun T, SiegelH, BeckN. A comparison of eleven static heuris- tics for mapping a class of independent tasks onto heterogeneous dis- tributed computing systems [J]. Journal of Parallel and Distributed Computing, 2001, 61 (6): 810--837.
  • 5Goldberg D E. Genetic Algorithms in Search, Optimization & Ma- chine Learning[M]. Addison--Wesley Publishing, 1989: 3--4.
  • 6徐志伟;冯百明;李伟.网格计算技术[M]北京:电子工业出版社,200494-126.
  • 7Cao Junwei,Spooner D P,Jarvis S A. Grid load balancing using intelligent agents[J].Future Generation Computer Systems,2005,(01):135-149.
  • 8Pop F,Dobre C,Cristea V. Genetic algorithm for DAG scheduling in grid environments[A].2009.
  • 9Zhang Yi,Zhang Jun,Shu Xingzu. Optimization of Intelligent Compactness Control Rule of Vibratory Roller Based on Genetic Algorithm Method[A].2009.
  • 10韩瑞峰.遗传算法的原理与应用实例[M]北京:兵器工业出版社,2010.

引证文献2

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部