• DocumentCode
    1729006
  • Title

    Data Prefetching Driven by User Preference and Global Coordination for Mobile Environments

  • Author

    Zhang, Xiaowei ; Cao, Donggang ; Tian, Gang ; Chen, Xiangqun

  • Author_Institution
    Key Lab. of High Confidence Software Technol., Peking Univ., Beijing
  • fYear
    2008
  • Firstpage
    145
  • Lastpage
    150
  • Abstract
    Most of the prefetch technologies used in the current cache service schemes did not consider systematically different issues such as the mobile clients´ user preferences, Client/Server cooperation and global coordination. This paper presents an approach named Multiple Goals-Oriented Data Prefetching (MGODP) addressing the above problem. MGODP takes the user preferences into account to best satisfy user requirements. Since MGODP focuses on Client/Server data access model, it can adopt global coordination to achieve optimal allocation of network bandwidth from the server perspective and balance the workload between the mobile client and the backend server through autonomic cooperation. Simulation results demonstrate the positive effect of achieving users´ specific goal and show that this mechanism significantly outperforms several prefetching algorithms from the whole system´s perspective.
  • Keywords
    bandwidth allocation; cache storage; client-server systems; data models; mobile computing; cache service scheme; client/server data access model; global coordination; mobile environment; multiple goals-oriented data prefetching; optimal network bandwidth allocation; user preference; Bandwidth; Delay; Educational technology; Energy consumption; Mobile computing; Network servers; Predictive models; Prefetching; System performance; Wireless networks; context-aware; data prefetch; global coordination; mobile computing; user preference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grid and Pervasive Computing Workshops, 2008. GPC Workshops '08. The 3rd International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-0-7695-3177-9
  • Type

    conf

  • DOI
    10.1109/GPC.WORKSHOPS.2008.35
  • Filename
    4539339