Abstract
In this study, we model pricing of grid/distributed computing resources as a problem of real option pricing. Grid resources are non-storable compute commodities (eg., CPU cycles, memory, etc). The non-storable characteristic feature of the grid resources hinders it from fitting into a risk-adjusted spot price model for pricing financial options. Grid resources users pay upfront to acquire and use grid compute cycles in the future, for example, six months. The user expects a high and acceptable degree of satisfaction expressed as the Quality of Service (QoS) assurance. This requirement further imposes service constraints on the grid because it must provide a user-acceptable QoS guarantee to compensate for the upfront value. This study integrates three threads of our research; pricing the grid compute cycles as a problem of real option pricing, modeling grid resources spot price using a discrete time approach, and addressing uncertainty constraints in the provision of QoS using fuzzy logic. We have proved the feasibility of this model through experiments and we have presented some of our pricing results and discussed them.
The last author acknowledges partial financial support from the Natural Sciences and Engineering Research Council (NSERC) Canada through Discovery Grants and to the University Research Grants Program (URGP) of the University of Manitoba.
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References
Zadeh, L.A.: Fuzzy Sets. Information and Control 4, 338–353 (1965)
Gray, A.A., Arabshahi, P., Lamassoure, E., Okino, C., Andringa, J.: A Real Option Framework for Space Mission Design, NASA – Jet Propulsion labouratory (2003)
Carlson, C., Fuller, R.: A Fuzzy Approach to Real Option Valuation. Fuzzy Sets and Systems 139, 297–312 (2003)
Black, F., Scholes, M.: The Pricing of Options and Corporate Liabilities. Journal of Political Economy 3, 637–659 (1973)
Hull, J.C.: Options, Futures, and Other Derivatives, 6th edn. Prentice-Hall, Englewood Cliffs (2006)
Thulasiram, R.K., Litov, L., Nojumi, H., Downing, C.T., Gao, G.R.: Multithreaded Algorithms for Pricing a Class of Complex Options. In: Proceedings (CD-ROM) of the International Parallel and Distributed Processing Symposium (IPDPS), San Francisco, CA (2001)
Gupta, A., Zhang, L., Kalyanaraman, S.: Simulation for Risk Management: A Two-component Spot Pricing Framework For Loss-rate Guaranteed Internet Service Contracts. In: Winter Simulation Conference 2003: Proceedings of the 35th Conference on Winter Simulation, pp. 372–380 (2003)
Rahmail, S., Shiller, I., Thulasiram, R.K.: Different Estimators of The Underlying Asset’s Volatility and Option Pricing Errors: Parallel Monte-Carlo Simulation. In: Proceedings of the International Conference on Computational Finance and its Applications (ICCFA), Bologna, Italy, pp. 121–131 (April 21-23, 2004)
Amico, M., Pasek, Z.J., Asl, F., Perrone, G.: Simulation Methodology For Collateralized Debt and Real Options: A New Methodology to Evaluate The Real Options of Investment Using Binomial Trees and Monte Carlo Simulation. In: Winter Simulation Conference 2003: Proceedings of the 35th Conference on Winter Simulation, pp. 351–359 (2003)
Barua, S., Thulasiram, R.K., Thulasiraman, P.: High Performance Computing for a Financial Application using Fast Fourier Transform. In: Cunha, J.C., Medeiros, P.D. (eds.) Euro-Par 2005. LNCS, vol. 3648, pp. 1246–1253. Springer, Heidelberg (2005)
Thulasiram, R.K., Zhen, C., Chhabra, A., Thulasiraman, P., Gumel, A.: A Second Order L 0 Stable Algorithm for Evaluating European Options. Int’l Journal of HPC and Networking (IJHPCN) (2006)
Kenyon, C., Cheliotis, G.: Grid Resource Commercialization: Economic Engineering and Delivery Scenarios. In: Nabrzyski, et al. (ed.) [17], 1st edn., ch. 26, vol. 64 (November 2003)
d’Halluin, Y., Forsyth, P.A., Vetzal, K.R.: Managing Capacity For Telecommunications Networks Under Uncertainty. IEEE/ACM Transaction on Networking 10 (2002)
Thulasiram, R.K., Thulasiraman, P.: Performance Evaluation of a Multithreaded Fast Fourier Transform Algorithm for Derivative Pricing. The Journal of Supercomputing 26(1), 43–58 (2003)
Cox, J.C., Ross, S.A., Rubinstein, M.: Option Pricing: A Simplified Approach. Journal of Financial Economics 7, 229–263 (1979)
Tavalla, D., Randall, C.: Pricing Financial Instruments: The Finite Difference Method. John Wiley and Sons, New York (2000)
Nabrzyski, J., Schopf, J., Weglarz, J. (eds.): Grid Resource Management: State of the Art and Future Trends. In: Int’l Series in Operations Research & Management Science, 1st edn. vol. 64. Kluwer Academic Publishers, Springer (November 2003)
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Allenotor, D., Thulasiram, R.K. (2007). A Grid Resources Valuation Model Using Fuzzy Real Option. In: Stojmenovic, I., Thulasiram, R.K., Yang, L.T., Jia, W., Guo, M., de Mello, R.F. (eds) Parallel and Distributed Processing and Applications. ISPA 2007. Lecture Notes in Computer Science, vol 4742. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74742-0_56
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DOI: https://doi.org/10.1007/978-3-540-74742-0_56
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