• DocumentCode
    506738
  • Title

    An auto-adjustment cache algorithm in handheld learning devices

  • Author

    Liang, Peng ; Xu Yan-li

  • Author_Institution
    Office of Acad. Affairs, Harbin Normal Univ., Harbin, China
  • Volume
    3
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    21
  • Lastpage
    24
  • Abstract
    There are many challenges of using all kinds of handheld devices as learning tools, that can connect to the Remote Learning System by cable or wireless network and then browser the downloaded course contents. First of all, network connection, especially wireless link, is usually not persistent and wireless coverage is often limited. In this case, the handheld learning devices become useless and the learning activities are interfered. Secondly, the learning resource size become more and more large, so that the time to wait for these resources downloaded from the remote learning system would be more and more long. Thirdly, computing power and storages ability of the device is too weak to save or perform plentiful downloaded learning resource. In order to solute the mentioned problems, an auto-adjustment cache algorithm is purposed in a Remote Learning System.
  • Keywords
    cache storage; computer aided instruction; mobile computing; radio links; autoadjustment cache algorithm; computing power; handheld devices; handheld learning devices; learning resource size; network connection; remote learning system; wireless coverage; wireless link; Cache storage; Content management; Displays; Ground penetrating radar; Handheld computers; Learning systems; Mobile communication; Power system management; Switches; Wireless networks; auto-adjustment; cache algorithm; handheld devices; remote learning system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358225
  • Filename
    5358225