• DocumentCode
    2977816
  • Title

    A User Preference Driven Approach for Multi-QoS Constrained Task Scheduling in Grid

  • Author

    Ding Ding ; Siwei Luo ; Lihua Ai ; Yidong Li

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    493
  • Lastpage
    498
  • Abstract
    Focusing on the fact that the grid users may require various QoS and have quite different preferences on each QoS, a User Preference Driven Approach(UPDA) is proposed to schedule grid tasks with multi-QoS constraints. In UPDA, user´s needs and preferences are modeled into matrixes to serve as the basis of scheduling and Analytical Hierarchy Process(AHP) method is adopted to perform a pair wise comparison between different kinds of QoS demands to gain the preference on each QoS. Furthermore, UPDA tries to offer optimal performance on the multi-QoS targets with the consideration of the resource utilization, which is just in compliance with the ground rule of fully utilizing of spare resource in grid. Simulation results confirm that UPDA can not only better satisfy the diverse requirements of users, but also perform well in term of the resource utilization rate from the system´s perspectives.
  • Keywords
    analytic hierarchy process; grid computing; human factors; matrix algebra; processor scheduling; quality of service; resource allocation; AHP method; QoS demands; UPDA; analytical hierarchy process method; grid task scheduling; grid users; multiQoS constrained task scheduling; multiQoS targets; optimal performance; pairwise comparison; spare resource utilization rate; user preference driven approach; Educational institutions; Processor scheduling; Quality of service; Reliability; Resource management; Security; Vectors; AHP; grid; multi-QoS; task scheduling; user preference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2012 13th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-4879-1
  • Type

    conf

  • DOI
    10.1109/PDCAT.2012.32
  • Filename
    6589326