A service governance mechanism based on process mining for cloud-based applications

ABSTRACT

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.

KEYWORDS:

• Service governance
• process mining
• cloud computing
• business process insight
• semantic scene model

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. http://www.xes-standard.org/openxes/start.

Additional information

Funding

This research is supported by the National Natural Science Foundation of China under Grant No. 61373030, 91646205, 71421002.