• DocumentCode
    2495168
  • Title

    Optimization of Workflow Pre-Scheduling Based on Nested Genetic Algorithm

  • Author

    Xiao, Zhijiao ; Ming, Zhong ; Yin, Jianfei

  • Author_Institution
    Sch. of Comput. Sci. & Software Eng., Shenzhen Univ., Shenzhen, China
  • Volume
    1
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    294
  • Lastpage
    297
  • Abstract
    Pre-scheduling of workflows is to schedule all tasks of a workflow instance as soon as it is initialized. Based on the study of existing scheduling methods, a new optimization method of workflow pre-scheduling is proposed based on Nested Genetic Algorithm(NGA). The solutions of resource allocation and execution sequence are optimized and global optimization for a single process instance can be approached using the proposed method. Experiments are done to show the feasibility and superiority of the proposed method.
  • Keywords
    genetic algorithms; resource allocation; scheduling; NGA; global optimization; nested genetic algorithm; resource allocation solution; workflow prescheduling optimisation; Computer science; Engines; Genetic algorithms; Heart; Information technology; Optimization methods; Processor scheduling; Resource management; Scheduling algorithm; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Information Technology (MMIT), 2010 Second International Conference on
  • Conference_Location
    Kaifeng
  • Print_ISBN
    978-0-7695-4008-5
  • Electronic_ISBN
    978-1-4244-6602-3
  • Type

    conf

  • DOI
    10.1109/MMIT.2010.134
  • Filename
    5474280