Abstract
Cloud service composition is usually long-term based and driven by meeting the Cloud economic model. We use CP-Net to represent the long-term based economic model. We consider service composition as a Nash game to capture the behaviors of Cloud application providers and IaaS providers. Finally, we propose an economic model based service composition approach in Cloud computing.
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Motahari-Nezhad, H., Stephenson, B., Singhal, S.: Outsourcing Business to Cloud Computing Services: Opportunities and Challenges. LABs of HP (2009)
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)
Yu, Q., Liu, X., Bouguettaya, A., Medjahed, B.: Deploying and managing web services: issues, solutions, and directions. The VLDB Journal The International Journal on Very Large Data Bases 17(3), 537–572 (2008)
Boutilier, C., Brafman, R., Domshlak, C., Hoos, H., Poole, D.: Cp-nets: A tool for representing and reasoning with conditional ceteris paribus preference statements. Journal of Artificial Intelligence Research 21(1), 135–191 (2004)
Amazon elastic compute cloud pricing (2011), http://aws.amazon.com/ec2/pricing/
Ardagna, D., Panicucci, B., Passacantando, M.: A game theoretic formulation of the service provisioning problem in cloud systems. In: Proceedings of the 20th International Conference on World Wide Web, pp. 177–186. ACM (2011)
Facchinei, F., Kanzow, C.: Generalized nash equilibrium problems. 4OR: A Quarterly Journal of Operations Research 5(3), 173–210 (2007)
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)
Ardagna, D., Pernici, B.: Adaptive service composition in flexible processes. IEEE Transactions on Software Engineering, 369–384 (2007)
Alrifai, M., Risse, T.: Combining global optimization with local selection for efficient qos-aware service composition. In: Proceedings of the 18th International Conference on World Wide Web, pp. 881–890. ACM (2009)
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)
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Ye, Z. (2012). Economic Model Based Cloud Service Composition. In: Pallis, G., et al. Service-Oriented Computing - ICSOC 2011 Workshops. ICSOC 2011. Lecture Notes in Computer Science, vol 7221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31875-7_20
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DOI: https://doi.org/10.1007/978-3-642-31875-7_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31874-0
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