• DocumentCode
    3141693
  • Title

    Legacy Application Migration to Cloud

  • Author

    Meng, Xin ; Shi, Jingwei ; Liu, Xiaowei ; Liu, Huifeng ; Wang, Lian

  • Author_Institution
    Service Platform Dept., NEC Labs. China, Beijing, China
  • fYear
    2011
  • fDate
    4-9 July 2011
  • Firstpage
    750
  • Lastpage
    751
  • Abstract
    Along with the increasing popularity of cloud computing, the requirement to efficiently migrate enterprises´ legacy applications to cloud has become extremely intensive. Existing solutions have many limitations in use, such as the source code of legacy application is always required, or the migrated application cannot be customized or mashed up. What´s more, it always overbalances the budget to perform these solutions. In this paper, we proposed a brand new Application Migration Solution (AMS) to efficiently migrate legacy applications to web applications by GUI recognition and reconstruction technology. The core technologies are presented and evaluation results are given for technology validation. Based on AMS, enterprises can deploy their legacy applications to cloud easily. This solution also fulfills advanced enterprise requirements, including application customization requirement or mashup with other applications to compose more integrated and powerful applications.
  • Keywords
    business data processing; cloud computing; graphical user interfaces; GUI recognition technology; GUI reconstruction technology; application customization requirement; application migration solution; cloud computing; enterprises legacy applications; legacy application migration; source code; Browsers; Cloud computing; Graphical user interfaces; HTML; Mashups; Prototypes; Runtime; Application Migration; Cloud Computing; GUI Recognition; Mashup; Reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2011 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    2159-6182
  • Print_ISBN
    978-1-4577-0836-7
  • Electronic_ISBN
    2159-6182
  • Type

    conf

  • DOI
    10.1109/CLOUD.2011.56
  • Filename
    6008785