• DocumentCode
    2544190
  • Title

    Research on Code Migration Framework for Mobile Computing

  • Author

    Long Cheng ; Hongming Cai ; Lihong Jiang

  • Author_Institution
    Sch. of Software, Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2012
  • fDate
    1-3 Nov. 2012
  • Firstpage
    230
  • Lastpage
    236
  • Abstract
    More mobile users access to cloud-based services via wireless network recently, however connections between mobile device and cloud are unreliable as wireless network is unstable and dead spots won´t completely disappear. On the other hand, mobile devices are growing rapidly with faster computing power and longer battery time. Code component migration between the mobile client and the cloud is proposed to guarantee service performance and make full use of client resources. First, enterprise task, resource and service are extracted and modeled for building task components. Then business processes are described by Markov chains and Markov decision processes are used for migration strategy. Next runtime environment is realized in browser with the help of HTML5. Finally, a case study is implemented and the result shows that this model is effective and useful in improving cloud service performance in the environment of varying connectivity properties.
  • Keywords
    Markov processes; cloud computing; hypermedia markup languages; mobile computing; HTML5; Markov chains; Markov decision process; business process; client resources; cloud-based services; code component migration framework; enterprise task extraction; mobile computing; mobile device; resource extraction; service extraction; wireless network; Browsers; Business; Cloud computing; Computational modeling; Markov processes; Mobile communication; Mobile handsets; Business Process; Code Migration; Enterprise Task; Markov Decision Process Model; Mobile cloud computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud and Green Computing (CGC), 2012 Second International Conference on
  • Conference_Location
    Xiangtan
  • Print_ISBN
    978-1-4673-3027-5
  • Type

    conf

  • DOI
    10.1109/CGC.2012.55
  • Filename
    6382823