• DocumentCode
    2183100
  • Title

    Cloud Bank Model Based on AHP Resource Scheduling Strategy Research

  • Author

    Hao Li ; Shuwei Jia ; Fan Yang ; Renxiang Wang

  • Author_Institution
    Sch. of Software, Yunnan Univ., Kunming, China
  • fYear
    2013
  • fDate
    16-19 Dec. 2013
  • Firstpage
    493
  • Lastpage
    496
  • Abstract
    Under the circumstances of the cloud bank model, this paper studies resource scheduling problem on cloud computing. Considering the the user´s needs for optimal allocation of resources and the shortest time to complete the total task, cloud computing resource scheduling of analytic hierarchy process model (AHP) is established. Under this model, conduct simulation experiment through the CloudSim platform. Results show that the AHP algorithm under the model, while protecting users´ (quality of service) QoS, is even shorter than the general algorithm in completing the total task time. It is an effective resource scheduling algorithm.
  • Keywords
    analytic hierarchy process; cloud computing; quality of service; scheduling; AHP resource scheduling strategy research; CloudSim platform; QoS; analytic hierarchy process model; cloud bank model; cloud computing; optimal allocation; quality of service; Cloud computing; Computational modeling; Processor scheduling; Quality of service; Resource management; Scheduling; Vectors; AHP model; cloud bank; resource scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on
  • Conference_Location
    Fuzhou
  • Print_ISBN
    978-1-4799-2829-3
  • Type

    conf

  • DOI
    10.1109/CLOUDCOM-ASIA.2013.49
  • Filename
    6821038