• DocumentCode
    166277
  • Title

    Study and analysis of various task scheduling algorithms in the cloud computing environment

  • Author

    Mathew, Tojo ; Sekaran, K. Chandra ; Jose, Jithin

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Rajagiri Sch. of Eng. & Technol., Kochi, India
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    658
  • Lastpage
    664
  • Abstract
    Cloud computing is a novel perspective for large scale distributed computing and parallel processing. It provides computing as a utility service on a pay per use basis. The performance and efficiency of cloud computing services always depends upon the performance of the user tasks submitted to the cloud system. Scheduling of the user tasks plays significant role in improving performance of the cloud services. Task scheduling is one of the main types of scheduling performed. This paper presents a detailed study of various task scheduling methods existing for the cloud environment. A brief analysis of various scheduling parameters considered in these methods is also discussed in this paper.
  • Keywords
    cloud computing; parallel processing; scheduling; cloud computing environment; cloud computing services; cloud system; large scale distributed computing; parallel processing; task scheduling algorithms; utility service; Dynamic scheduling; Heuristic algorithms; Load management; Scheduling algorithms; Servers; Cloud computing; Cloudsim; Completion time; Energy efficiency; Heuristics; Makespan; Minimum execution time; Task scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968517
  • Filename
    6968517