Volume 8 Number 9 ( Sep. 2013)
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JSW 2013 Vol.8(9): 2122-2126 ISSN: 1796-217X
doi: 10.4304/jsw.8.9.2122-2126

An Adaptive e-Service for Bridging the Cloud Services by an Optimal Selection Approach

Chih-Kun Ke1, Shih-Fang Chang2, Zheng-Hua Lin1
1National Taichung University of Science and Technology, Dept. of Information Management, Taichung, Taiwan R.O.C.
2Industrial Technology Research Institute, Internet Security Dept., Information & Communications Research Laboratories, Hsinchu, Taiwan R.O.C.


Abstract—The information technology industry designs various e-services based on the fast delivery, powerful computing and large storage capacity of cloud computing systems. Specifically, the service provider develops e-service markets within a cloud computing environment with which to provide the e-services. The use of information technology, insofar as helping people obtain reasonable e-service, provides challenges to innovative service providers. In this work, we propose an adaptive e-service for linking users and the cloud services. Our work is based on user profile, specifically, on a role-based access control model with which to identify the user and assign a specific role. A user with a specific role is then authorized to access the various eservices in the cloud computing environment. Then, the utility function and multi-criteria decision analysis model are deployed to optimize the e-service selection with regard to various cloud services. Our aim is that the proposed adaptive e-service will be able to assist people in obtaining eservices in cloud environments.

Index Terms—Adaptive e-service; role-base access control; utility function, multi-criteria decision analysis.

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Cite: Chih-Kun Ke, Shih-Fang Chang, Zheng-Hua Lin, "An Adaptive e-Service for Bridging the Cloud Services by an Optimal Selection Approach," Journal of Software vol. 8, no. 9, pp. 2122-2126, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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