Title :
A Process Mashup Model Based on Complex Event Processing
Author :
Wei Ye ; Ruici Luo ; Shikun Zhang
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China
Abstract :
Under the Web 2.0 circumstances that applications are usually constructed "on the fly" for some transient or personal needs by integrating existing services and information, the complexity and overhead of Web services models and service composition become a problem. As an emerging Web 2.0 technology, mashup enables end-users to integrate separated Web sources to create innovative applications. However, today\´s researches on mashup primarily focus on data integration and presentation integration instead of business process. This paper proposes a process mashup model based on complex event processing, which leverages event-driven Publish/Subscribe communication paradigm to orchestrate browser-side components. The model also provides a definition language of composite events to help end-users to define the process behavior, and consequently shields them from traditional process constructs like conditional branching and looping, allowing them to create articulated business processes in a lightweight fashion.
Keywords :
Web services; business process re-engineering; data integration; online front-ends; Web 2.0 technology; Web services; browser-side components; business process; complex event processing; data integration; data presentation integration; process mashup model; service composition; Browsers; Business; Connectors; Mashups; Navigation; Runtime; Subscriptions; complex event processing; composite event; mashup; mashup model; process mashup;
Conference_Titel :
Service Sciences (ICSS), 2013 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4673-6258-0
DOI :
10.1109/ICSS.2013.43