Abstract
Cloud service composition is usually long term based and economically driven. We consider cloud service composition from a user-based perspective. Specifically, the contributions are shown in three aspects. We propose to use discrete Bayesian Network to represent the economic model of end users. The cloud service composition problem is modeled as an Influence Diagram problem. A novel influence-diagram-based cloud service composition approach is proposed. Analytical and simulational results are presented to show the performance of the proposed composition approach.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Motahari-Nezhad, H., Stephenson, B., Singhal, S.: Outsourcing business to cloud computing services: Opportunities and challenges. IEEE Internet Computing (2009)
Youseff, L., Butrico, M., Da Silva, D.: Toward a unified ontology of cloud computing. In: Grid Computing Environments Workshop (2009)
Yu, Q., Liu, X., Bouguettaya, A., Medjahed, B.: Deploying and managing web services: issues, solutions, and directions. The VLDB Journal 17(3), 537–572 (2008)
Armbrust, M., Fox, A., Griffith, R., Joseph, A., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al.: Above the clouds: A berkeley view of cloud computing. EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2009-28 (2009)
Medjahed, B., Bouguettaya, A., Elmagarmid, A.: Composing web services on the semantic web. The VLDB Journal 12(4), 333–351 (2003)
Zeng, L., Benatallah, B., Ngu, A., Dumas, M., Kalagnanam, J., Chang, H.: QoS-aware middleware for web services composition. IEEE Transactions on Software Engineering 30(5), 311–327 (2004)
Dash, D., Kantere, V., Ailamaki, A.: An economic model for self-tuned cloud caching. In: IEEE 25th International Conference on Data Engineering, pp. 1687–1693 (2009)
Kantere, V., Dash, D., Francois, G., Kyriakopoulou, S., Ailamaki, A.: Optimal Service Pricing for a Cloud Cache. IEEE Transactions on Knowledge and Data Engineering (2011)
Shachter, R.: Probabilistic inference and influence diagrams. Operations Research, 589–604 (1988)
Gelmon, S., Agre-Kippenhan, S.: Promotion, tenure and the engaged scholar. AAHE Bulletin 54(5), 7–11 (2002)
Milanovic, N., Malek, M.: Current solutions for web service composition. IEEE Internet Computing, 51–59 (2004)
Wu, B., Chi, C., Chen, Z., Gu, M., Sun, J.: Workflow-based resource allocation to optimize overall performance of composite services. Future Generation Computer Systems 25(3), 199–212 (2009)
Pinedo, M.: Scheduling: theory, algorithms, and systems. Springer (2012)
Baumol, W., Blinder, A.: Economics: principles and policy. South-Western Pub. (2011)
Jensen, F.: An introduction to Bayesian networks, vol. 74. UCL Press, London (1996)
Shachter, R.: Evaluating influence diagrams. Operations Research 34(6), 871–882 (1986)
Tatman, J., Shachter, R.: Dynamic programming and influence diagrams. IEEE Transactions on Systems, Man and Cybernetics 20(2), 365–379 (1990)
Elvira, a Java implementation of influence diagram (2005), http://www.ia.uned.es/~elvira
Chun, S.A., Atluri, V., Adam, N.R.: Using semantics for policy-based web service composition. Distributed and Parallel Databases 18(1), 37–64 (2005)
Wu, D., Parsia, B., Sirin, E., Hendler, J., Nau, D.: Automating DAML-S Web Services Composition Using SHOP2, p. 195 (2003)
Berkelaar, M., Eikland, K., Notebaert, P., et al.: lpsolve: Open source (mixed-integer) linear programming system. Eindhoven U. of Technology (2004)
Canfora, G., Di Penta, M., Esposito, R., Villani, M.: An approach for QoS-aware service composition based on genetic algorithms. In: Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, pp. 1069–1075 (2005)
Ye, Z., Zhou, X., Bouguettaya, A.: Genetic Algorithm Based QoS-Aware Service Compositions in Cloud Computing. In: Yu, J.X., Kim, M.H., Unland, R. (eds.) DASFAA 2011, Part II. LNCS, vol. 6588, pp. 321–334. Springer, Heidelberg (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
Ye, Z., Bouguettaya, A., Zhou, X. (2012). QoS-Aware Cloud Service Composition Based on Economic Models. In: Liu, C., Ludwig, H., Toumani, F., Yu, Q. (eds) Service-Oriented Computing. ICSOC 2012. Lecture Notes in Computer Science, vol 7636. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34321-6_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-34321-6_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34320-9
Online ISBN: 978-3-642-34321-6
eBook Packages: Computer ScienceComputer Science (R0)