• DocumentCode
    123330
  • Title

    Scheduling in Grid Computing Environment

  • Author

    Prajapati, Harshad B. ; Shah, V.A.

  • Author_Institution
    Inf. Technol. Dept., Dharmsinh Desai Univ., Nadiad, India
  • fYear
    2014
  • fDate
    8-9 Feb. 2014
  • Firstpage
    315
  • Lastpage
    324
  • Abstract
    Scheduling in Grid computing has been active area of research since its beginning. However, beginners find very difficult to understand related concepts due to a large learning curve of Grid computing. Thus, there is a need of concise understanding of scheduling in Grid computing area. This paper strives to present concise understanding of scheduling and related understanding of Grid computing system. The paper describes overall picture of Grid computing and discusses important sub-systems that enable Grid computing possible. Moreover, the paper also discusses concepts of resource scheduling and application scheduling and also presents classification of scheduling algorithms. Furthermore, the paper also presents methodology used for evaluating scheduling algorithms including both real system and simulation based approaches. The presented work on scheduling in Grid containing concise understandings of scheduling system, scheduling algorithm, and scheduling methodology would be very useful to users and researchers.
  • Keywords
    grid computing; learning (artificial intelligence); pattern classification; processor scheduling; real-time systems; application scheduling; grid computing; learning curve; real system; resource scheduling; scheduling algorithm classification; scheduling methodology; scheduling system; simulation based approach; Grid computing; Job shop scheduling; Monitoring; Scheduling algorithms; Scheduling in Grid; application scheduling; methodology; resource scheduling; simulation; workflow scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing & Communication Technologies (ACCT), 2014 Fourth International Conference on
  • Conference_Location
    Rohtak
  • Type

    conf

  • DOI
    10.1109/ACCT.2014.32
  • Filename
    6783470