Optimal Pricing for Service Provision in IaaS Cloud Markets

Publications

Share / Export Citation / Email / Print / Text size:

International Journal of Advanced Network, Monitoring and Controls

Xi'an Technological University

Subject: Computer Science, Software Engineering

GET ALERTS

eISSN: 2470-8038

DESCRIPTION

1
Reader(s)
1
Visit(s)
0
Comment(s)
0
Share(s)

SEARCH WITHIN CONTENT

FIND ARTICLE

Volume / Issue / page

Related articles

VOLUME 2 , ISSUE 3 (September 2017) > List of articles

Optimal Pricing for Service Provision in IaaS Cloud Markets

Gang Fang / Zhengce Cai / Xianwei Li *

Keywords : Pricing, IaaS,  cloud market,  queueing system

Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 3, Pages 153-157, DOI: https://doi.org/10.1109/iccnea.2017.18

License : (CC BY-NC-ND 4.0)

Published Online: 09-April-2018

ARTICLE

ABSTRACT

Pricing plays an important role for service provision in cloud computing. In this paper, we investigate price based resource access control in two Monopoly IaaS cloud market, respectively. The two IaaS cloud market is formed by one public cloud service providers (CSPs) and cloud broker (CB), provisioning cloud services to delay-sensitive cloud users (CUs). In the first monopoly cloud market, we treat the public CSP as an M/M/1 queueing system and study this CSP’s pricing effect on the equilibrium behaviours of self-interested CUs. We propose two pricing mechanisms with the objective of maximizing revenue and social welfare, respectively. In the second monopoly cloud market, the CB is modelled as an M/M/∞ queueing system, which has infinite capacity to serve a common pool of CUs. We also analyze how pricing affects the equilibrium behaviors of CUs and the revenue-optimal and social-optimal pricing strategies in view of this CSP.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

R. Buyya, C.S. Yeo, and S. Venugopal, “Market Oriented Cloud Computing: Vision, Hype, and Reality for Delivering it Services as Computing Utilities,” Proc. 10th IEEE Conference on High Performance Computing and Communications (HPCC 2008), pp. 5- 13, Sept. 2008.

 

D. Bruneo, “A stochastic model to investigate data center performance and QoS in IaaS cloud computing systems,” IEEE Trans. Parallel Distrib. Syst., vol.25, no.3, pp.560–569, March 2014.

 

L. Zheng, Carlee Joe-Wong, and C. G. Brinton et al. “On the Viability of a Cloud Virtual Service Provider,” Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science (SIGMETRICS 2016), Antibes Juan-les-Pins, France, pp. 235-248, June 2016.

 

Amazon EC2 Pricing. http://aws.amazon.com/cn/ec2/pricing/.

 

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.

 

H. Xu and B. Li, “A study of pricing for cloud resources,” ACM SIGMETRICS Performance Evaluation Review, vol. 40, no. 4, pp. 3-12, Mar. 2013.

 

L. Mashayekhy, M. M. Nejad, and D. Grosu. "Cloud federations in the sky: Formation game and mechanism." IEEE Trans. Cloud Comput., vol. 3, no. 1, pp.14-27, Jan.-March 2015.

 

Z. Liu, Y. Chen, and C. Bash, et al., “Renewable and cooling aware workload management for sustainable data centers,” Proc. of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2012), London, England, UK, pp. 11–15, June 2012.

 

N. H. Tran, C. S. Hong, and S. Lee et al., “Optimal Pricing Effect on Equilibrium Behaviors of Delay-Sensitive Users in Cognitive Radio Networks,” IEEE J. Sel. Areas Commun., vol. 31, no. 11, pp. 2266–2579, Oct. 2013.

 

Z. Liu, M. Lin, and A. Wierman, et al., “Greening geographical load balancing,” IEEE/ACM Trans. Netw., vol. 23, no. 2, pp. 657-671, Apr. 2015.

 

Y. Jin, S. Sen, and R. Guerin, et al., “Dynamics of competition between incumbent and emerging network technologies,” in Proc. Workshop on the Economics of Networks, Systems, and Computation (NetEcon’ 08 ), Seattle, WA, USA, pp. 49–54, Aug. 2008.

 

R. Gibbens, R. Mason, and R. Steinberg, “Internet service classes under competition,” IEEE J. Sel. Areas Commun., vol. 18, no. 12, pp. 2490–2498, Dec. 2000.

 

Campaign Monitor. http://www. campaignmonitor.com/pricing

 

Amazon SES. https://aws.amazon.com/ses /pricing.

 

J. Cao, K. Hwang, and K. Li, et al., “Optimal multiserver configuration for profit maximization in cloud computing,” IEEE Trans. Parallel Distrib. Syst., vol.24, no.6, pp.1087-1096, June 2013.

 

H. Khazaei, J. Misic, and V. B. Misic, “Performance analysis of cloud computing centers using M/G/m/m+r queuing systems,” IEEE Trans. Parallel Distrib. Syst., vol. 23, no. 5, pp. 936–943, May 2012.

 

W. Fang, Y. Li, and H. Zhang, et al. "On the throughput-energy tradeoff for data transmission between cloud and mobile devices." Information Sciences, 283, pp.79-93, 2014.

 

Fudenberg and J. Tirole, Game Theory, MIT Press, Cambridge, USA, 1991.

 

EXTRA FILES

COMMENTS