• DocumentCode
    625007
  • Title

    Mobile Healthcare Systems with Multi-cloud Offloading

  • Author

    Huaming Wu ; Qiushi Wang ; Wolter, Katinka

  • Author_Institution
    Dept. of Math. & Comput. Sci., Free Univ. of Berlin, Berlin, Germany
  • Volume
    2
  • fYear
    2013
  • fDate
    3-6 June 2013
  • Firstpage
    188
  • Lastpage
    193
  • Abstract
    The fast growth of cloud computing has attracted more companies to migrate their in-house IT applications into cloud and it also occurs in the medical field. A mobile healthcare system with cloud offloading is considered in this paper and it can be divided into two stages: sensor network and cloud offloading. In the first stage, information collected by body sensors should be transmitted to a remote mobile device. In order to save energy, an energy-efficient transmission scheme called cooperative multi-input multi-output (MIMO) is constructed for the data transfer when allowing individual sensor nodes to cooperate with each other. In the second stage, two offloading schemes called self-reliant multi-cloud offloading system and multi-cloud offloading system are proposed and further analyzed based on serve topology and optimal graph partition. The former provides stability but with high communication cost, while the latter reduces communication cost but is less stable. Both schemes can be applied to other scenarios in which we would like to perform offloading on multiple servers.
  • Keywords
    cloud computing; health care; mobile computing; MIMO; cloud computing; energy efficient transmission scheme; medical field; mobile healthcare systems; multi-input multi-output; multicloud offloading; multicloud offloading system; optimal graph partition; remote mobile device; sensor network; sensor nodes; Energy consumption; Medical services; Mobile communication; Mobile handsets; Network topology; Servers; Topology; cloud computing; cooperative MIMO; mobile healthcare; offloading; partition; sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management (MDM), 2013 IEEE 14th International Conference on
  • Conference_Location
    Milan
  • Print_ISBN
    978-1-4673-6068-5
  • Type

    conf

  • DOI
    10.1109/MDM.2013.92
  • Filename
    6569088