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2015 | OriginalPaper | Chapter

Leveraging Process Mining on Service Events Towards Service Composition

Authors : Yulai Li, Hongming Cai, Chengxi Huang, Fenglin Bu

Published in: Advances in Services Computing

Publisher: Springer International Publishing

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Abstract

Service composition is a widely-used approach in the development of applications. However, well-designed service composition approaches always lacks the consideration of execution environment, and the approach designed for application execution is usually incomplete and lacking necessary business consideration. In order to improve the comprehensiveness covered both design and execution stages, a service composition approach based on process mining is proposed. First, a meta-model is designed to connect the information of execution environment and business requirement. Next, the scene model based on this meta-model is generated by leveraging process mining. Then the scene model is applied to do service composition, including service selection from the Service Registry. After that, BPEL instance is converted based on aggregated scene information so as to enable application execution. Finally, a cloud-based logistics platform is implemented to verify the approach, and the result shows that the approach has high requirement accuracy and execution effectiveness.

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Metadata
Title
Leveraging Process Mining on Service Events Towards Service Composition
Authors
Yulai Li
Hongming Cai
Chengxi Huang
Fenglin Bu
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-26979-5_14

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