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.
This research was done with partial financial support from the Natural Sciences and Engineering Research Council (NSERC) Canada through Discovery Grants and with the University Research Grants Program (URGP) of the University of Manitoba.
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Allenotor, D., Thulasiram, R.K., Thulasiraman, P. (2009). A Financial Option Based Grid Resources Pricing Model: Towards an Equilibrium between Service Quality for User and Profitability for Service Providers. In: Abdennadher, N., Petcu, D. (eds) Advances in Grid and Pervasive Computing. GPC 2009. Lecture Notes in Computer Science, vol 5529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01671-4_2
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DOI: https://doi.org/10.1007/978-3-642-01671-4_2
Publisher Name: Springer, Berlin, Heidelberg
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