期刊
ENTERPRISE INFORMATION SYSTEMS
卷 12, 期 10, 页码 1239-1256出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/17517575.2018.1442933
关键词
Service governance; process mining; cloud computing; business process insight; semantic scene model
资金
- National Natural Science Foundation of China [61373030, 91646205, 71421002]
With the widely use of cloud computing in enterprise information systems, service governance becomes critical for an enterprise to adapt to a changing business environment. In order to provide a dynamic strategy for continuous service governance, in this paper a comprehensive service analysis solution is proposed to address both design time and run-time requirements for cloud applications. First, a process-centric Semantic Scene Model is composed to combines static business requirements with dynamic execution information. Then service analysis is conducted referring both to the business process mining results from event logs and the Semantic Scene Model given by business model designers. Service governance strategies are generated from the service analysis results and are performed to qualitatively classify the Quality of Service (QoS) of the services. Finally the approach is verified with a transportation logistics service application in a cloud platform. The result shows that our method can get continuous service governance through combining business processes with run-time service analysis.
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