• DocumentCode
    711862
  • Title

    Multi-source Heterogeneous Data Exchange System for Cloud Services Platform Based on SaaS

  • Author

    Binyong Li ; Linfu Sun ; Ran Tian

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2015
  • fDate
    24-26 April 2015
  • Firstpage
    327
  • Lastpage
    331
  • Abstract
    For data exchange industry chain enterprises and cloud service platform group based on SaaS mode, analyzed the data exchange all the inherent relation and data exchange participants, based on the solution of data exchange based on Web Services. On the basis of improving the traditional XML data exchange model based on the proposed rule double XML configuration data exchange model, in order to build a flexible exchange data dynamically configurable system of rules. Then phased abstract data exchange model designed bi-directional data exchange mechanism to achieve the data exchange remote collaborative data exchange between the two sides. Through the application in the automobile industry chain cloud services platform, it proves the research can better support cloud service platform and core vehicle manufacturing enterprises of multi-source heterogeneous data exchange requirements.
  • Keywords
    Web services; XML; automobile industry; cloud computing; data analysis; electronic data interchange; SaaS; Web service; XML configuration data exchange model; automobile industry chain cloud service platform; bi-directional data exchange mechanism; cloud service platform; collaborative data exchange; data exchange industry; multisource heterogeneous data exchange system; vehicle manufacturing enterprise; Business; Collaboration; Data models; Manufacturing; Vehicles; Web services; XML; Dual associated XML; Software-as-a-Service; cloud service platform; data exchange; multi-source heterogeneous;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-6849-0
  • Type

    conf

  • DOI
    10.1109/ICISCE.2015.79
  • Filename
    7120619