• DocumentCode
    1974050
  • Title

    A CCRA Based Mass Customization Development for Cloud Services

  • Author

    Bo Hu ; Yutao Ma ; Liang-Jie Zhang ; Chunxiao Xing ; Jun Zou ; Ping Xu

  • Author_Institution
    Kingdee Int. Software Group Co. Ltd., Shenzhen, China
  • fYear
    2013
  • fDate
    June 28 2013-July 3 2013
  • Firstpage
    705
  • Lastpage
    712
  • Abstract
    With the incredible popularity of cloud computing, the adoption of mass customization (MC) is significant for building a cloud computing system that could provide services provisioning in a manner of multi-tenancy. Because of lack of a standard architecture that supports MC development for cloud services, the existing metadata or model driven approaches have insufficient abilities to realize personalized requirements with mass production when applied to product development in large-scale enterprises. Aiming at these problems, this paper presents a novel MC-based development approach for enterprise-level business cloud services based on the specification of the Cloud Computing Reference Architecture (CCRA), and shares the practice about how the approach is applied to building Kingdee K/3 Collaboration Development Cloud (CDC). Successful practice has proved that by adopting our MC development approach, we can develop platforms and tools on the cloud at a low cost and more effectively.
  • Keywords
    business data processing; cloud computing; meta data; software architecture; software management; CCRA based mass customization development; CDC; MC; cloud computing reference architecture; cloud computing system; collaboration development cloud; enterprise level business cloud services; mass production; metadata; product development; Business; Cloud computing; Computer architecture; Service-oriented architecture; Standards; Unified modeling language; cloud computing; collaborative development; domain modeling; mass customization; reference architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2013 IEEE International Conference on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5026-8
  • Type

    conf

  • DOI
    10.1109/SCC.2013.113
  • Filename
    6649760