A Process Mining Based Service Composition Approach for Mobile Information Systems
Joint Authors
Huang, Chengxi
Cai, Hongming
Li, Yulai
Du, Jiawei
Bu, Fenglin
Jiang, Lihong
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-23
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Telecommunications Engineering
Abstract EN
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.
American Psychological Association (APA)
Huang, Chengxi& Cai, Hongming& Li, Yulai& Du, Jiawei& Bu, Fenglin& Jiang, Lihong. 2017. A Process Mining Based Service Composition Approach for Mobile Information Systems. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1189014
Modern Language Association (MLA)
Huang, Chengxi…[et al.]. A Process Mining Based Service Composition Approach for Mobile Information Systems. Mobile Information Systems No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1189014
American Medical Association (AMA)
Huang, Chengxi& Cai, Hongming& Li, Yulai& Du, Jiawei& Bu, Fenglin& Jiang, Lihong. A Process Mining Based Service Composition Approach for Mobile Information Systems. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1189014
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189014