• DocumentCode
    3176077
  • Title

    Data Cache Strategy Based on Colony Algorithm in Mobile Computing Environment

  • Author

    Chu Yan ; Zhang Jianpei ; Zhao Chunhui

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
  • fYear
    2009
  • fDate
    21-22 Dec. 2009
  • Firstpage
    235
  • Lastpage
    238
  • Abstract
    In mobile computing environments, the limited bandwidth of wireless communications, the weak capability of mobile computing equipments and the valuable power make it difficult for mobile devices to be maintained with the network all the time. Cache technique caches part of data in the clients to reduce the query of database server, so it solves the problem to some extent. Research on cache strategy for mobile computing environment has become an important research direction. Based on the analysis of existing cache strategy, we studied the cache strategy based on mobile agent further. In order to make Mobile Agents have the real and effective collaboration and not limited reference to the conceptual level, we use the ant colony algorithm to propose the data cache strategy based on ant colony algorithm. Finally, we give the experiment to show the superiority.
  • Keywords
    cache storage; client-server systems; data communication; mobile agents; mobile computing; optimisation; radiocommunication; ant colony algorithm; bandwidth limitation; data cache strategy; database server; mobile agent; mobile computing environment; mobile device; network maintenance; problem solving; wireless communication; Ant colony optimization; Collaborative work; Computer networks; Data engineering; Educational institutions; Mobile agents; Mobile computing; Network servers; Power engineering and energy; Power engineering computing; ant colony; cache; mobile computing environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing for Science and Engineering (ICICSE), 2009 Fourth International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-6754-9
  • Type

    conf

  • DOI
    10.1109/ICICSE.2009.60
  • Filename
    5521596