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Mobile Information Systems
Volume 2017 (2017), Article ID 3254908, 13 pages
Research Article

A Process Mining Based Service Composition Approach for Mobile Information Systems

School of Software, Shanghai Jiao Tong University, Shanghai, China

Correspondence should be addressed to Hongming Cai; nc.ude.utjs@iacmh

Received 23 September 2016; Revised 29 November 2016; Accepted 18 December 2016; Published 23 January 2017

Academic Editor: Laurence T. Yang

Copyright © 2017 Chengxi Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Due to the growing trend in applying big data and cloud computing technologies in information systems, it is becoming an important issue to handle the connection between large scale of data and the associated business processes in the Internet of Everything (IoE) environment. Service composition as a widely used phase in system development has some limits when the complexity of relationship among data increases. Considering the expanding scale and the variety of devices in mobile information systems, a process mining based service composition approach is proposed in this paper in order to improve the adaptiveness and efficiency of compositions. Firstly, a preprocessing is conducted to extract existing service execution information from server-side logs. Then process mining algorithms are applied to discover the overall event sequence with preprocessed data. After that, a scene-based service composition is applied to aggregate scene information and relocate services of the system. Finally, a case study that applied the work in mobile medical application proves that the approach is practical and valuable in improving service composition adaptiveness and efficiency.