Advanced Search
MyIDEAS: Login

Comparison of Two Yield Management Strategies for Cloud Service Providers

Contents:

Author Info

  • Mohammad Mahdi Kashef

    ()
    (TEMEP, College of Engineering, Seoul National University)

  • Azamat Uzbekov

    ()
    (TEMEP, College of Engineering, Seoul National University)

  • Jorn Altmann

    ()
    (TEMEP, College of Engineering, Seoul National University)

  • Matthias Hovestadt

    ()
    (Department of Computer Science, Hanover University of Applied Sciences)

Abstract

Several Cloud computing business models have been developed and implemented, including dynamic pricing schemes. This paper extends the known concepts of revenue management to the specific case of Cloud computing from two perspectives. First, we propose system architecture for Cloud service providers for combining demand-based pricing and scheduling. Second, a comparison of two yield management methods for cloud computing has been compared: Limited Discount Period Algorithm and VM Reservation Level Algorithm. By taking advantage of demand estimation, the two algorithms find the optimum number of VMs that are sold at full price and the optimum time period before the allocation when the prices should change. Simulation results show that both yield management methods outperform static pricing models and the algorithms perform differently considering the deviation of demand.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: ftp://147.46.237.98/DP-103.pdf
File Function: First version, 2013
Download Restriction: no

Bibliographic Info

Paper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 2013103.

as in new window
Length: 17 pages
Date of creation: May 2013
Date of revision: May 2013
Publication status: Published in Proceedings of the 8th International Conference on Grid and Pervasive Computing (GPC 2013).
Handle: RePEc:snv:dp2009:2013103

Contact details of provider:
Postal: 599 Gwanak-Ro, Gwanak-Gu, Seoul 151-744
Phone: +82-2-880-8386
Fax: +82-2-873-7229
Email:
Web page: http://temep.snu.ac.kr/
More information through EDIRC

Related research

Keywords: Cloud Computing; Revenue Management; Pricing Strategy; Autonomic Resource Management.;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:snv:dp2009:2013103. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jorn Altmann).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.