A method of demand-driven and data-centric Web service configuration for flexible business process implementation

B. Xu, L. D. Xu, Xiang Fei, L. Jiang, H. Cai, S. Wang

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    7 Citations (Scopus)
    209 Downloads (Pure)


    Facing the rapidly changing business environments, implementation of flexible business process is crucial, but difficult especially in data-intensive application areas. This study aims to provide scalable and easily accessible information resources to leverage business process management. In this article, with a resource-oriented approach, enterprise data resources are represented as data-centric Web services, grouped on-demand of business requirement and configured dynamically to adapt to changing business processes. First, a configurable architecture CIRPA involving information resource pool is proposed to act as a scalable and dynamic platform to virtualise enterprise information resources as data-centric Web services. By exposing data-centric resources as REST services in larger granularities, tenant-isolated information resources could be accessed in business process execution. Second, dynamic information resource pool is designed to fulfil configurable and on-demand data accessing in business process execution. CIRPA also isolates transaction data from business process while supporting diverse business processes composition. Finally, a case study of using our method in logistics application shows that CIRPA provides an enhanced performance both in static service encapsulation and dynamic service execution in cloud computing environment. This is an Accepted Manuscript of an article published by Taylor & Francis in Enterprise Information Systems on 3 Mar 2016, available online: http://www.tandfonline.com/10.1080/17517575.2016.115052
    Original languageEnglish
    Pages (from-to)988-1004
    Number of pages17
    JournalEnterprise Information Systems
    Issue number7
    Early online date3 Mar 2016
    Publication statusPublished - 2017


    • Enterprise data management
    • business process execution
    • cloud computing
    • data-centric Web service
    • information resource pool
    • RESTful service


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