• DocumentCode
    2344626
  • Title

    Research on Multi-QoS On-line Scheduling Based on Fuzzy Theory in the Grid

  • Author

    Xu, Jing ; Yang, Shoubao ; Wu, Bin ; Shi, Lili

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2009
  • fDate
    21-22 Aug. 2009
  • Firstpage
    88
  • Lastpage
    92
  • Abstract
    In the background of widely use of grid applications, users would no longer be satisfied with the current grid infrastructure services of ¿do my best¿, and hope the grid system is able to provide those services which can guarantee quality. Furthermore, as the expansion of user group, the service should be much easier to use and correspond with the applications´ particular requirements. Users´ QoS (Quality of Service) requirements are of subjective, fuzzy and incompletely considering, so aiming at these problems this paper proposes a method named FuzzyQoS. It considers users´ multi-QoS requirements using fuzzy decision-making theory based on their preferences in online scheduling. This method not only normalizes the multi-QoS requirements which have the features of subjectivity and fuzziness, but also highlights the QoS requirements of user preferences. It is shown that, with the same system makespan, the degree of user satisfaction is close to other multi-QoS methods and significantly improved comparing with one-dimensional QoS scheduling method. What is the most important, this method does not require users to be sufficiently professional. It is simple, effective and sensitive to the users´ preferences.
  • Keywords
    fuzzy set theory; grid computing; quality of service; fuzzy theory; grid applications; multi-QoS on-line scheduling; Application software; Computer science; Decision making; Delay; Fuzzy sets; Fuzzy systems; Grid computing; Processor scheduling; Quality of service; Scheduling algorithm; fuzzy computing; grid; multi-QoS; on-line secduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ChinaGrid Annual Conference, 2009. ChinaGrid '09. Fourth
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-0-7695-3818-1
  • Type

    conf

  • DOI
    10.1109/ChinaGrid.2009.44
  • Filename
    5328318