• DocumentCode
    441945
  • Title

    A grid execution environment similarity metric

  • Author

    Wang, Wei ; Fang, Bin-Xing

  • Author_Institution
    Dept. of Comput. Sci., Harbin Inst. of Technol., China
  • Volume
    5
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    3007
  • Abstract
    A program´s behavior is always tightly related with the computing environment where it runs, especially for parallel programs running in grid. Debugging tries to locate the reason for incorrect program behavior by analyzing the states, which happen during a program´s execution. In order to allow cyclic debugging, re-execution mechanisms are used most frequently. The dynamic characteristics of grid will hinder re-execution to work, because the behavior of a program will be various according to the current configuration of execution environment. By modeling grid environments with graphics, this paper proposes the metric to evaluate the similarity between grid applications execution environments. The GA based resource selection algorithm is presented to construct similar execution environments in grids. A serial of experiments shows that the similarity metrics is appropriate.
  • Keywords
    genetic algorithms; grid computing; program debugging; program diagnostics; resource allocation; computing environment; genetic algorithm; grid applications; grid environments model; grid execution environment; parallel debugging; parallel programs; resource management; resource selection algorithm; similarity metric; Concurrent computing; Costs; Debugging; Distributed computing; Graphics; Grid computing; Machine learning algorithms; Resource management; Runtime; Software testing; Grid; computing environment; genetic algorithm; parallel debugging; resource management; similarity metric;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527458
  • Filename
    1527458