Abstract
Cloud computing has emerged as the most important paradigm of distributed computing in the last decade. Increasing demand of the cloud users and inadequacy of resources along with the cloud providers has encouraged the federation of multiple cloud providers. In federation, multiple rational providers coordinate for the execution of the user’s tasks. In federated cloud, the distribution of the user’s request for resources and revenue among the providers has evolved as the most challenging task. Existing works aim at the profit maximization of the providers while discounting the importance of fair distribution. This paper presents cooperative game theoretic model for the fair distribution of revenue and resources among the providers, and analyzes the variation of power index with the change in the user’s request. For analysis of the proposed model, comparative evaluation is performed with the existing distribution model. An experimental result demonstrates that the proposed model distributes the resource request and revenue more fairly that the existing state of art.
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
References
Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Zaharia, M.: A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)
Liaqat, M., Chang, V., Gani, A., Ab Hamid, S.H., Toseef, M., Shoaib, U., Ali, R.L.: Federated cloud resource management: review and discussion. J. Netw. Comput. Appl. 77, 87–105 (2017)
Niyato, D., Vasilakos, A.V., Kun, Z.: Resource and revenue sharing with coalition formation of cloud providers: game theoretic approach. In: 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), pp. 215–224. IEEE (2011)
Hassan, M.M., Al-Wadud, M.A., Fortino, G.: A socially optimal resource and revenue sharing mechanism in cloud federations. In: IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 620–625. IEEE (2015)
El Zant, B., Amigo, I., Gagnaire, M.: Game theoretic approaches for revenue sharing in federated cloud. In: IEEE 3rd International Conference Cloud Networking (CloudNet), pp. 300–306. IEEE (2014)
Mihailescu, M., Teo, Y.M.: Strategy-proof dynamic resource pricing of multiple resource types on federated clouds. In: International Conference on Algorithms and Architectures for Parallel Processing, pp. 337–350. Springer, Berlin, Heidelberg (2010)
Mihailescu, M., Teo, Y.M.: Dynamic resource pricing on federated clouds. In: Proceedings of the 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp. 513–517. IEEE (2010)
Mashayekhy, L., Nejad, M.M., Grosu, D.: Cloud federations in the sky: formation game and mechanism. IEEE Trans. Cloud Comput. 3(1), 14–27 (2015)
Hassan, M.M., Song, B., Huh, E.N.: A market-oriented dynamic collaborative cloud services platform. Ann. Telecommun. Annales des Telecommun. 65(11), 669–688 (2010)
Amazon Web Services, [Online]. Available: https://aws.amazon.com/pricing/. Accessed 8 Dec 2017
Truong-Huu, T., Tham, C.K.: A game-theoretic model for dynamic pricing and competition among cloud providers. In: IEEE/ACM 6th International Conference Utility and Cloud Computing (UCC), pp. 235–238. IEEE (2013)
Guazzone, M., Anglano, C. and Sereno, M.: A game-theoretic approach to coalition formation in green cloud federations. In: 2014 14th IEEE/ACM International Symposium Cluster, Cloud and Grid Computing (CCGrid), pp. 618–625. IEEE (2014)
Chalkiadakis, G., Elkind, E., Wooldridge, M.: Computational Aspects of Cooperative Game Theory. Morgan and Claypool Publisher, CA (2011)
Cloud Harmony: Gartner Company, [Online]. Available: https://cloudharmony.com/. Accessed 2 Oct 2017
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kansal, S., Kumar, H., Kaushal, S. (2020). Cooperative Game Theory-Based Request Distribution Model in Federated Cloud Environment. In: Pati, B., Panigrahi, C., Buyya, R., Li, KC. (eds) Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1089. Springer, Singapore. https://doi.org/10.1007/978-981-15-1483-8_19
Download citation
DOI: https://doi.org/10.1007/978-981-15-1483-8_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-1482-1
Online ISBN: 978-981-15-1483-8
eBook Packages: EngineeringEngineering (R0)