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Making Money with Clouds: Revenue Optimization Through Automated Policy Decisions

Dimension Value
  • Type of the Research Result
  • Model
    • Business Model
  • Current Status of Development
  • Not specified
  • Number of Cases
  • Not Specified
  • Functional Area
  • Supporting Processes
    • Information Management
  • Company Size
  • Not Specified
  • Lifecycle Phase
  • Not Specified
  • Pre-Utilization
  • Types of Customers of Value Bundles
  • Not Specified
  • Industry Sector
  • Not Specified
  • Standardization
  • Not Specified

Cloud Computing is a promising approach with a high impact on business models. One aspect of business models is clearly the revenue model, which defines how prices should be set to achieve predefined revenue level. The decision about accepting or denying requests has a high impact on the revenue of the provider. In this paper authors analyze two approaches that support the cloud provider in its decision. They show that predefined policies allow increasing revenue compared to widely used technical models such as first-come-first-serve.

This research result was described by Sanja Tumbas (13. August 2011 - 11:23)
This research result was last edited by Sanja Tumbas (18. December 2011 - 18:12)

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