• DocumentCode
    255929
  • Title

    Analytical study of load scheduling algorithms in cloud computing

  • Author

    Chaudhary, D. ; Kumar, B.

  • Author_Institution
    Dept. of Comput. Eng., Netaji Subhas Inst. of Technol., New Delhi, India
  • fYear
    2014
  • fDate
    11-13 Dec. 2014
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    Scheduling enables the cloud in balancing the large amount of load present in the system for faster computation. It plays a vital and significant part in the execution of the load in the various heterogeneous systems. The scheduling portrays a selection of resources for the tasks for better resource utilization. This paper differentiates the various load scheduling algorithms applied in the various heterogeneous systems in detail. It plays a key role in larger resource utilization and handling. This paper defines the basic cloud computing fundamentals and the concept of load balancing i.e., scheduling of load in cloud. The applied load scheduling algorithms are elaborated and surveyed extensively.
  • Keywords
    cloud computing; resource allocation; scheduling; cloud computing; heterogeneous systems; load balancing; load scheduling algorithms; resource selection; resource utilization; Biological cells; Cloud computing; Genetic algorithms; Load management; Resource management; Scheduling algorithms; A∗ Algorithm; Cloud; Genetic Algorithm; MCT; MET; Min-Min Algorithm; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Grid Computing (PDGC), 2014 International Conference on
  • Conference_Location
    Solan
  • Print_ISBN
    978-1-4799-7682-9
  • Type

    conf

  • DOI
    10.1109/PDGC.2014.7030706
  • Filename
    7030706