Maximizing revenue with dynamic cloud pricing: The infinite horizon case

@article{Xu2012MaximizingRW,
  title={Maximizing revenue with dynamic cloud pricing: The infinite horizon case},
  author={Hong Xu and Baochun Li},
  journal={2012 IEEE International Conference on Communications (ICC)},
  year={2012},
  pages={2929-2933}
}
We study the infinite horizon dynamic pricing problem for an infrastructure cloud provider in the emerging cloud computing paradigm. The cloud provider, such as Amazon, provides computing capacity in the form of virtual instances and charges customers a time-varying price for the period they use the instances. The provider's problem is then to find an optimal pricing policy, in face of stochastic demand arrivals and departures, so that the average expected revenue is maximized in the long run… CONTINUE READING

Figures and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 57 CITATIONS

High Performance Computing

  • Communications in Computer and Information Science
  • 2013
VIEW 10 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand

VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Competitive Cloud Pricing for Long-Term Revenue Maximization

  • Journal of Computer Science and Technology
  • 2019
VIEW 1 EXCERPT
CITES BACKGROUND

Competitions Among Service Providers in Cloud Computing: A New Economic Model

  • IEEE Transactions on Network and Service Management
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

Compac — A pricing model for community cloud

  • 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
  • 2017
VIEW 1 EXCERPT
CITES METHODS

Computational pricing in Internet era

  • Frontiers of Computer Science
  • 2017
VIEW 1 EXCERPT
CITES BACKGROUND

FILTER CITATIONS BY YEAR

2012
2019

CITATION STATISTICS

  • 2 Highly Influenced Citations

  • Averaged 6 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 18 REFERENCES

Revenue maximization with dynamic cloud pricing

H. Xu, B. Li
  • 2011, in submission.
  • 2011
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Congestion-dependent pricing of network services

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

A genetic model for pricing in cloud computing markets

M. Macı́as, J. Guitart
  • Proc. 26th Symp. Applied Computing, 2011.
  • 2011
VIEW 1 EXCERPT

On Economic and Computational-Efficient Resource Pricing in Large Distributed Systems

  • 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
  • 2010
VIEW 1 EXCERPT

Similar Papers