Joint Pricing and Capacity Planning in the IaaS Cloud Market

IEEE Transactions on Cloud Computing

Volumn 5, Issue 1, 2017, Pages 57-70

  Tang, Ling ^a   Chen, Hao ^b  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HUAWEI TECHNOLOGIES CO LTD   (China)

Author keywords

capacity planning; cloud computing market; economics; Pricing

Indexed keywords

APPLICATION PROGRAMS; CLOUD COMPUTING; COMMERCE; COMPETITION; COMPUTATION THEORY; COSTS; ECONOMICS; GAME THEORY; ITERATIVE METHODS; PROFITABILITY; SOFTWARE AS A SERVICE (SAAS);

CAPACITY PLANNING; CLOUD-BASED APPLICATIONS; EXISTENCE AND UNIQUENESS; ITERATIVE ALGORITHM; OPTIMAL DECISIONS; OPTIMAL SOLUTIONS; PROVIDER'S PROFITS; STACKELBERG GAMES;

INFRASTRUCTURE AS A SERVICE (IAAS);

EID: 85027721938     PISSN: None     EISSN: 21687161     Source Type: Journal    
DOI: 10.1109/TCC.2014.2372811     Document Type: Article

References (35)

1. M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, "A view of cloud computing," Commun. ACM, vol. 53, no. 4, pp. 50-58, 2010.
2. S. K. Garg, S. Versteeg, and R. Buyya, "A framework for ranking of cloud computing services," Future Gener. Comput. Syst., vol. 29, pp. 1012-1023, 2013.
3. L. Wu, S. Kumar Garg, and R. Buyya, "SLA-based admission control for a software-as-a-service provider in cloud computing environments," J. Comput. Syst. Sci., vol. 78, no. 5, pp. 1280-1299, 2012.
4. Y. Lee, C. Wang, A. Zomaya, and B. Zhou, "Profit-driven service request scheduling in clouds," in Proc. IEEE/ACM 10th Int. Conf. Cluster, Cloud Grid Comput., 2010, pp. 15-24.
5. R. Buyya, C. Vecchiola, and S. Selvi, Mastering Cloud Computing: Foundations and Applications Programming. New York, NY, USA: Elsevier, 2013.
6. V. Abhishek, A. K. Ian, and P. Key, "Fixed and market pricing for cloud services," in Proc. 7th Workshop Econ. Netw., Syst., Comput., 2012, pp. 157-162.
7. Q. Zhang, Q. Zhu, and R. Boutaba, "Dynamic resource allocation for spot markets in cloud computing environments," in Proc. IEEE 4th Int. Conf. Utility Cloud Comput., 2011, pp. 178-185.
8. H. Zhang, B. Li, H. Jiang, F. Liu, A. V. Vasilakos, and J. Liu, "A framework for truthful online auctions in cloud computing with heterogeneous user demands," in Proc. IEEE Int. Conf. Comput. Commun., 2013, pp. 1510-1518.
9. Q. Wang, K. Ren, and X. Meng, "When cloud meets ebay: Towards effective pricing for cloud computing," in Proc. IEEE Int. Conf. Comput. Commun., 2012, pp. 936-944.
10. H. Xu, and B. Li, "Dynamic cloud pricing for revenue maximization," IEEE Trans. Cloud Comput., vol. 1, no. 2, pp. 158-171, Jul. 2013.
11. M. Macias and J. Guitart, "A genetic model for pricing in cloud computing markets," in Proc. ACM Symp. Appl. Comput., 2011, pp. 113-118.
12. T. Truong-Huu and C. Tham, "A novel model for competition and cooperation among cloud providers," IEEE Trans. Cloud Comput., vol. 2, no. 3, Jul.-Sep. 2014.
13. Y. Feng, B. Li, and B. Li, "Price competition in an oligopoly market with multiple IaaS cloud providers," IEEE Trans. Comput., vol. 63, no. 1, pp. 59-73, Jan. 2014.
14. T. Huu and C. Tham, "A game-theoretic model for dynamic pricing and competition among cloud providers," in Proc. IEEE/ACM 6th Int. Conf. Utility Cloud Comput., 2013, pp. 235-238.
15. H. Roh, C. Jung, W. Lee, and D. Du, "Resource pricing game in geo-distributed clouds," in Proc. IEEE Int. Conf. Comput. Commun., 2013, pp. 1519-1527.
16. R. Pal and P. Hui, "Economic models for cloud service markets: Pricing and capacity planning," Theor. Comput. Sci., vol. 496, pp. 113-124, 2013.
17. J. Anselmi, D. Ardagna, J. C. Lui, and A. Wierman, "The economics of the cloud: Price competition and congestion," SIGMETRICS Perform. Eval. Rev., vol. 41, pp. 47-49, 2013.
18. H. Xu and B. Li, "A study of pricing for cloud resources," SIGMETRICS Perform. Eval. Rev., vol. 40, no. 4, pp. 3-12, Apr. 2013.
19. T. Thanakornworakij, R. Nassar, C. Leangsuksun, and M. Paun, "An economic model for maximizing profit of a cloud service provider," in Proc. 7th Int. Conf. Availability, Rel. Security, 2012, pp. 274-279.
20. G. Kesidis, A. Das, and G. de Veciana, "On flat-rate and usagebased pricing for tiered commodity internet services," in Proc. 42nd Annu. Conf. Inf. Sci. Syst., 2008, pp. 304-308.
21. P. Ghosh, N. Roy, S. Das, and K. Basu, "A game theory based pricing strategy for job allocation in mobile grids," in Proc. 18th Int. Parallel Distrib. Process. Symp., 2004, pp. 82-91.
22. W. Tushar, W. Saad, H. Poor, and D. Smith, "Economics of electric vehicle charging: A game theoretic approach," IEEE Trans. Smart Grid, vol. 3, no. 4, pp. 1767-1778, Dec. 2012.
23. B. Sharma, R. Thulasiram, P. Thulasiraman, S. Garg, and R. Buyya, "Pricing cloud compute commodities: A novel financial economic model," in Proc. IEEE/ACM 12th Int. Symp. Cluster, Cloud Grid Comput., 2012, pp. 451-457.
24. I. Menache, A. Ozdaglar, and N. Shimkin, "Socially optimal pricing of cloud computing resources," in Proc. 5th Int. ICST Conf. Perform. Eval. Methodol. Tools, 2011, pp. 322-331.
25. V. Kantere, D. Dash, G. Francois, S. Kyriakopoulou, and A. Ailamaki, "Optimal service pricing for a cloud cache," IEEE Trans. Knowl. Data Eng., vol. 23, no. 9, pp. 1345-1358, Sep. 2011.
26. S. Ren and M. van der Schaar, "Joint design of dynamic scheduling and pricing in wireless cloud computing," in Proc. IEEE Int. Conf. Comput. Commun., Apr. 2013, pp. 185-189.
27. A. E. S. Instances. [Online]. Available: http://aws.amazon.com/ec2, 2014.
28. V. Di Valerio, V. Cardellini, and F. Lo Presti, "Optimal pricing and service provisioning strategies in cloud systems: A stackelberg game approach," in Proc. IEEE 6th Int. Conf. Cloud Comput., Jun. 2013, pp. 115-122.
29. D. Ardagna, B. Panicucci, and M. Passacantando, "A game theoretic formulation of the service provisioning problem in cloud systems," in Proc. 20th Int. Conf. World Wide Web, 2011, pp. 177-186.
30. D. Niyato, S. Chaisiri, and B.-S. Lee, "Economic analysis of resource market in cloud computing environment," in Proc. IEEE Asia-Pac. Serv. Comput. Conf., Dec. 2009, pp. 156-162.
31. M. Lin, A. Wierman, L. Andrew, and E. Thereska, "Dynamic right-sizing for power-proportional data centers," in Proc. IEEE Int. Conf. Comput. Commun., 2011, pp. 1098-1106.
32. A. K. Mishra, J. L. Hellerstein, W. Cirne, and C. R. Das, "Towards characterizing cloud backend workloads: Insights from google compute clusters," SIGMETRICS Perform. Eval. Rev., vol. 37, no. 4, pp. 34-41, Mar. 2010.
33. Z. Zhou, F. Liu, H. Jin, B. Li, B. Li, and H. Jiang, "On arbitrating the power-performance tradeoff in saas clouds," in Proc. IEEE Int. Conf. Comput. Commun., Apr. 2013, pp. 872-880.
34. S. Boyd, and L. Vandenberghe, Convex Optimization. Cambridge, U.K.: Cambridge Univ. Press, 2004.
35. L. A. Barroso and U. Holzle, "The case for energy proportional computing," Computer, vol. 40, no. 12, pp. 33-37, 2007.