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
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