A Financial Option Based Grid Resources Pricing Model: Towards an Equilibrium between Service Quality for User and Profitability for Service Providers

  • Authors:
  • David Allenotor;Ruppa K. Thulasiram;Parimala Thulasiraman

  • Affiliations:
  • Department of Computer Science, University of Manitoba, Winnipeg, Canada MB R3T 2N2.;Department of Computer Science, University of Manitoba, Winnipeg, Canada MB R3T 2N2.;Department of Computer Science, University of Manitoba, Winnipeg, Canada MB R3T 2N2.

  • Venue:
  • GPC '09 Proceedings of the 4th International Conference on Advances in Grid and Pervasive Computing
  • Year:
  • 2009

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Abstract

In this paper, we design and develop a financial options-based model for pricing grid resources. The objective is to strike and maintain an equilibrium between service satisfaction of grid users and profitability of service providers. We explain how option theory fits well to price the grid resources. We price various grid resources such as memory, storage, software, and compute cycles as individual commodities. We carried out several experiments and provide a mapping of our research results based on the spot prices to the expected cost of utilizing the resources from three real grids that reflects their usage pattern. We further enhance our model to achieve the objective of equilibrium between Quality of Service (QoS) and profitability from the perspectives of the users and grid operators respectively.