Abstract
Service selection is the key technology during the fusion of AmI and Service Computing, the selection procedure is influenced by service’s QoS, user preference, Context and other factors in AmI system. According the features of AmI, the paper proposes a two phase interaction decision making model which combines the service’s objective attributes with user’s subjective preference. It computes objective weight of the candidate services’ QoS attribute values by using their information entropy, then the user can reference for the objective decision information and give his subjective selection information which includes preference and Context-aware constraints. At last, the optimized selection rule is computed by using the objective and subjective information. The test results show that the solution has fine adaptability and usability, and it achieves the unity of generality and personalized.
This work is partially supported by the National Nature Science Foundation of China (No.90407017, No.60773186, No.61063002), Nature Science Foundation of Beijing (No.4072008) and Education Department of Guangxi (No.201010LX154).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Chakraborty, D., Joshi, A.: Toward Distributed Service Discovery in Pervasive Computing Environments. IEEE Transactions on mobile computing 5(2), 97–112 (2006)
Kalasapur, S., Kumar, M., Shirazi, B.A.: Dynamic Service Composition in Pervasive Computing. IEEE Transactions on parallel and distributed systems 18(7), 907–918 (2007)
Benazzouz, Y., Sabouret, N., Chikhaoui, B.: Dynamic service composition in Ambient Intelligence environment. In: 2009 IEEE International Conference on Services Computing, pp. 411–418 (2009)
Brnsted, J., Hansen, K.M., Ingstrup, M.: Service Composition Issues in Pervasive Computing. IEEE Pervasive Computing 9(1), 62–70 (2010)
Wang, P.: An Entropy Decision Model for Selection of QoS-Aware Services Provisioning. In: Fifth International Conference on Fuzzy Systems and Knowledge Discovery, pp. 552–558 (2008)
Mani, A., Nagarajan, A.: Understanding quality of service for web services (January 2002)
Yaoguo, D., Sifeng, L., et al.: Study on Grey Incidence Decision Model of the Dynamic Multiple-attribute. Engineering Science(China) 7(2), 69–721 (2005)
Shannon, C.E., Weaver, W.: The Mathematical Theory of Communication. The University of Illinois Press, Urbana (1947)
Yu, H.Q., Reiff-Marganiec, S.: A Method for Automated Web Service Selection. In: 2008 IEEE Congress on Services 2008 - Part I, pp. 513–520 (2008)
He, Y., Li, F., et al.: A New Method for Web Service Selection Based on Hybrid QoS Criteria. In: 2009 Second International Symposium on Electronic Commerce and Security, pp. 427–431 (2009)
Yu, Y.: Evaluation of E-commerce Service Quality Using the Analytic Hierarchy Process. In: 2010 International Conference on Innovative Computing and Communication and 2010 Asia-Pacific Conference on Information Technology and Ocean Engineering, pp. 123–126 (2010)
Zuo, M.: Research on Web Services Selection Model Based onAHP. In: IEEE International Conference on Service Operations and Logistics, and Informatics, pp. 2763–2768 (2008)
Hwang, C.L., Yoon, K.: Multiple Attribute Decision Making and Applications. Springer, New York (1981)
Xu, J., Wu, W.: Multiple Attribute Decision Making Theory and Method, pp. 45–48. Tsinghua University Press, Beijing (2006)
Rui, C., Hou, Y.-b., Huang, Z.-q., Jian, H.: Modeling the Ambient Intelligence Application System: Concept, Software, Data, and Network. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 9(3), 299–314 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, H., Hou, Y., Huang, Z., Liu, Q., Tang, L. (2011). User-Oriented and Entropy Based Adaptable Web Service Selection in AmI. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-23226-8_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23225-1
Online ISBN: 978-3-642-23226-8
eBook Packages: Computer ScienceComputer Science (R0)