• DocumentCode
    3238509
  • Title

    DSQGG: An optimized genetic-based algorithm for scheduling in distributed grid

  • Author

    Delavar, Arash Ghorbannia ; Rahmany, Mostafa ; Halaakouie, Ayden ; Sookhtsaraei, Reza

  • Author_Institution
    Payam Noor Univ., Tehran, Iran
  • fYear
    2010
  • fDate
    2-4 Nov. 2010
  • Firstpage
    365
  • Lastpage
    369
  • Abstract
    In this paper, a novel scheduling algorithm has been presented that is more efficient and has more reliability comparing similar algorithms. DSQGG is a novel algorithm that by defining new parameters and metrics, has decreased the delay and also response time of job. Also it satisfies the satisfaction level of servers. Several simulation results show that by using this new algorithm, a better makespan in total task process and a better performance of distributed system are being achieved. This way, quality of service in different levels of distributed processors is being increased and finally acknowledge delay of processes is being decreased significantly.
  • Keywords
    genetic algorithms; grid computing; scheduling; DSQGG; distributed grid; distributed processors; optimized genetic-based algorithm; scheduling algorithm; service quality; Biological cells; Gallium; Genetics; Distributed systems; Genetic Algorithm; Grid Systems; Independent Task; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Technology and Development (ICCTD), 2010 2nd International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-8844-5
  • Electronic_ISBN
    978-1-4244-8845-2
  • Type

    conf

  • DOI
    10.1109/ICCTD.2010.5645855
  • Filename
    5645855