An Adaptive E-service for Bridging the Cloud Services

• Published in: 2012 Sixth International Conference on Genetic and Evolutionary Computing pp. 554 - 557
• Main Authors: Chih-Kun Ke, Shih-Fang Chang, Zheng-Hua Lin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2012
• Subjects: Access control; Adaptation models; adaptive e-service; Cloud computing; Computational modeling; multi-criteria decision analysis; Quality of service; role-base access control; utility function
• ISBN: 9781467321389; 1467321389
• DOI: 10.1109/ICGEC.2012.42

Information Technology industry designs various e-services based on the fast delivery, powerful computing and huge storage capacity of cloud computing. the e-service becomes more popular of human life. the service provider builds e-service markets in cloud computing environment to issue the e-services. How to use Information Technology to help people obtain a reasonable e-service is the challenge. in this work, we propose an adaptive e-service for bridging the users and cloud services. It bases on the user profile, mainly through role-based access control model to identify the user and assign the specific role. the user with specific role is authorized the permissions to access the various e-services in cloud computing environment. Then, the utility function and multi-criteria decision analysis model are enforced to optimize the e-service selection in various cloud services. We hope the proposed adaptive e-service can intelligent assist people obtain the reasonable e-service in cloud services environment.