Optimal Pricing Strategies for Resource Allocation in IaaS Cloud

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

6
Reader(s)
14
Visit(s)
0
Comment(s)
0
Share(s)

SEARCH WITHIN CONTENT

FIND ARTICLE

Volume / Issue / page

Related articles

VOLUME 2 , ISSUE 2 (June 2017) > List of articles

Optimal Pricing Strategies for Resource Allocation in IaaS Cloud

Zhengce Cai / Xianwei Li *

Keywords : Cloud computing, pricing schemes, resource allocation, revenue, utility

Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 2, Pages 60-67, DOI: https://doi.org/10.21307/ijanmc-2017-010

License : (CC BY-NC-ND 4.0)

Published Online: 08-April-2018

ARTICLE

ABSTRACT

In cloud computing environment, pricing is an effective method for resource allocation and it provides efficient incentive for cloud providers to provide cloud services. In this paper, we investigate two pricing schemes for the allocation of cloud resources in a monopoly cloud market subject to constrained capacity of the cloud provider. There are two main pricing schemes, on-demand and reserved pricing mechanisms adopted by leading cloud providers, i.e., Amazon and Gogrid. We analyze how cloud users make their choice decisions to subscribe to cloud resources under different pricing schemes.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

J. Mei, K. Li, A. Ouyang et al. “A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Computing,” in press.

 

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), Dalian, China, pp. 5-13, Sep. 2008.

 

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, 53(4):50–58, 2010.

 

S. K. Garg, S. Versteeg, and R. Buyya. A framework for ranking of cloud computing services. Future Gneration Computer Systems, 29:1012–1023, 2013.

 

Amazon EC2. http://aws.amazon.com/ec2/instance-types/.GoGrid Pricing. http://www.gogrid.com/pricing.

 

Q. Wang, K. Ren, and X. Meng. When cloud meets ebay: Towards effective pricing for cloud computing. In IEEE INFOCOM, 2012.

 

H. Xu and B. Li. Dynamic cloud pricing for revenue maximization. IEEE Transactions on Cloud Computing, 1(2):158–171, July 2013.

 

Y. Feng, B. Li, and B. Li. Price competition in an oligopoly market with multiple iaas cloud providers. IEEE Transactions on Computers, 63(1):59–73, Jan 2014.

 

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

 

S.Y. Yun, Y. YI, D. H. Cho, et al. The economic effects of sharing femtocells. IEEE Transactions on Selected Areas in Communications, 30(3): 595-606, April. 2012.

 

EXTRA FILES

COMMENTS