Title :
On-Demand Service-Oriented MDA Approach for SaaS and Enterprise Mashup Application Development
Author :
Xiuwei Zhang ; Keqing He ; Jian Wang ; Jianxiao Liu ; Chong Wang ; Heng Lu
Author_Institution :
State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
Abstract :
As one of the fundamental technologies in cloud computing, services computing is playing a critical role to enable provisioning of software as a service (SaaS). However, how to effectively and efficiently develop and deploy personalized SaaS and enterprise mashups on the cloud platforms remain a big research challenge. SaaS developers and researchers may adopt certain strategies by leveraging existing services available in the cloud and using model driven approach. They can compose and design new value-added services as on-demand SaaS and enterprise mashup applications deployed on cloud platform. In this paper, we propose an On-Demand Service-Oriented Model Driven Architecture (ODSOMDA) approach that involves adding Service Oriented Architecture (SOA) elements into MDA to realize the model transformation based on a Role&Goal-Process-Service (RGPS) meta-model. The meta-level analysis of MDA is applied to facilitate construction of SaaS and mashup applications through three-layer automatic (semi-automatic) model transformation. Finally, we develop an enterprise mashup prototype as a practical case study to prove the effectiveness of the proposed approach.
Keywords :
cloud computing; service-oriented architecture; ODSOMDA; RGPS; SOA; SaaS; cloud computing; enterprise mashup application development; on-demand service-oriented MDA approach; role&goal-process-service metamodel; service oriented architecture; services computing; software as a service; value-added services; Business; Computational modeling; Mashups; Service oriented architecture; Software as a service; Unified modeling language; Cloud Computing; Mashup; RGPS; SOMDA; SaaS;
Conference_Titel :
Cloud and Service Computing (CSC), 2012 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-4724-2
DOI :
10.1109/CSC.2012.22