Abstract
In a service-oriented environment, clients can usually choose between several web services offering the same functionality. The web service selection can be automated by allowing clients to specify non-functional requirements such as quality of service. Clients should also be able to indicate how to make tradeoffs when some of these requirements cannot be met. The ability to capture tradeoff preferences is critical for selecting the best fitting web service. In this paper, we propose a method of expressing non-functional preferences, which requires minimal effort on the part of the clients, but offers great flexibility in managing tradeoffs. This method leads to a simple algorithm for selecting web services, which does not require sophisticated multicriteria decision techniques.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Medjahed, B., Bouguettaya, A.: Service Composition for the Semantic Web. Springer (2011)
Maximilien, E.M., Singh, M.P.: A Framework and Ontology for Dynamic Web Services Selection. IEEE Internet Computing 8(5), 84–93 (2004)
Zeng, L., Benatallah, B.: QoS-Aware Middleware for Web Services Composition. IEEE Transactions on Software Engineering 30(5), 311–327 (2004)
Zhou, C., Chia, L.T., Lee, B.S.: DAML-QoS Ontology for Web Services. In: International Conference on Web Services, pp. 472–479 (2004)
Papaioannou, I.V., Tsesmetzis, D.T., Roussaki, I.G., Anagnostou, M.E.: A QoS Ontology Language for Web-Services. Advanced Information Networking and Applications, 101–106 (2006)
Zeng, L., Lei, H., Chang, H.: Monitoring the QoS for Web Services. In: Krämer, B.J., Lin, K.-J., Narasimhan, P. (eds.) ICSOC 2007. LNCS, vol. 4749, pp. 132–144. Springer, Heidelberg (2007)
Day, J., Deters, R.: Selecting the best web service. In: Conference of the Centre for Advanced Studies on Collaborative Research, pp. 293–307 (2004)
Brafman, R.I., Domshlak, C.: Preference Handling — An Introductory Tutorial. AI Magazine, 58–86 (2009)
Marler, R.T., Arora, J.S.: The weighted sum method for multi-objective optimization: new insights. Structural and Multidisciplinary Optimization 41(6), 853–862 (2010)
Tversky, A.: Intransitivity of Preferences. Psychological Review 76(1), 31–48 (1969)
Manzini, P., Mariotti, M.: Choice by lexicographic semiorders. Theoretical Economics 7(1) (2010)
Herssens, C., Jureta, I.J., Faulkner, S.: Capturing and Using QoS Relationships to Improve Service Selection. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 312–327. Springer, Heidelberg (2008)
Chakhar, S., Haddad, S., Mokdad, L., Mousseau, V.: Multicriteria Evaluation-Based Conceptual Framework for Composite Web Service Selection. Evaluation and Decision Models: Real Case Studies. Springer, Berlin (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Iordache, R., Moldoveanu, F. (2012). A Conditional Lexicographic Approach for the Elicitation of QoS Preferences. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2012. OTM 2012. Lecture Notes in Computer Science, vol 7565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33606-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-33606-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33605-8
Online ISBN: 978-3-642-33606-5
eBook Packages: Computer ScienceComputer Science (R0)