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Risk hedging in storage grid markets: Do options add value to forwards?

Published: 01 July 2011 Publication History

Abstract

Internet storage services allow businesses to move away from maintaining their own internal storage networks. Service providers currently follow a utility pricing model which translates to them absorbing all the risk that arises from the fluctuating storage needs of their customers. The risk borne by the Internet storage service providers has large revenue implications as Internet startups and smaller companies, which face significant demand stochasticity, constitute an important segment of their clientele. We develop an option pricing mechanism to hedge against this risk and evaluate its effectiveness vis-à-vis forward contracts. We obtain the conditions under which options dominate forward contracts and the trade-offs involved when the provider has to decide on appropriate pricing mechanisms. Our empirical study uses publicly obtainable traffic data of Amazon S3 clients to validate the analytical results. We show that providers can significantly benefit from including options in their risk-hedging portfolio, especially when there is less variation in the costs faced by the buyers in building their own data networks as opposed to using cloud services.

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References

[1]
Alexa.com. 2011. http://www.alexa.com/
[2]
Amazon.com. 2009. Success stories. http://www.amazon.com/Success-Stories-AWS-home-page/b/ref=sc_fe_l_1_3435361_5/104-1585210-549543?ie=UTF8&node=1822410 11&no=3435361&me=A36L942TSJ2AJA
[3]
Bapna, R., Das, S., Garfinkel, R., and Stallaert, J. 2008. A market design for grid computing. INFORMS J. Comput. 20, 1, 100--111.
[4]
Bapna, R., Das, S., Day, R., Garfinkel, R., and Stallaert, J. 2011. A clock-and-offer auction market for grid resources when bidders face stochastic computational needs. INFORMS J. Comput. (To appear).
[5]
Brooke, J., Foster, M., Pickles, S., Taylor, K., and Hewitt, T. 2000. Mini-Grids: Effective test-beds for grid application. In Proceedings of the 1st IEEE/ACM International Workshop on Grid Computing (GRID'00).
[6]
Buyya, R. 2002. Economic-Based distributed resource management and scheduling for Grid computing. PhD thesis, Monash University, Melbourne, Australia.
[7]
Buyya, R., Yeo, C., and Venugopal, S. 2009. Market-Oriented cloud computing: Vision, hype, and reality for delivering computing as the 5th utility. In Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'09).
[8]
Cachon, G. and Lariviere, M. 2001. Contracting to assure supply: How to share demand forecasts in a supply chain. Manag. Sci. 47, 5, 629--646.
[9]
Cocchi, R., Shanker, S., Estrin, D., and Zhang, L. 1993. Pricing in computer networks: Motivation formulation, and example. IEEE/ACM Trans. Netw. 1, 6, 617--627.
[10]
Cooper, B. and Garcia-Molina, H. 2002. Bidding for storage space in a peer-to-peer data preservation system. In Proceedings of the 22nd International Conference on Distributed Computing Systems (ICDSC'02). 372--381. http://www-db.stanford.edu/peers/
[11]
Das, S., Du, A. Y., Gopal, R. D., and Ramesh, R. 2011. Risk management and optimal pricing in online storage grids. Inf. Syst. Res. (To appear).
[12]
Du, A. Y., Geng, X., Gopal, R. D., Ramesh, R., and Whinston, A. B. 2008a. Capacity provision networks: Foundations of markets for sharable resources in distributed computational economies. Inf. Syst. Res. 19, 2, 144--160.
[13]
Du, A. Y., Geng, X., Gopal, R. D., Ramesh, R., and Whinston, A. B. 2008b. Topographically discounted internet infrastructure resources: A panel study and econometric analysis. Inf. Technol. Manag. 9, 2, 135-- 146.
[14]
Foster, I. and Kesselman, C. 1997. Globus: A metacomputing infrastructure toolkit. Int. J. Supercomput. Appl. 11, 2, 115--128.
[15]
Frey, J., Tannenbaum, T., Livny, M., Foster, I., and Tuecke, S. 2001. Condor-G: A computation management agent for multi-institutional grids. In Proceedings of the 10th International Symposium on High Performance Distributed Computing (HPDC'10). 55.
[16]
Fujiwara, I., Aida, K., and Ono, I. 2009. Market-Based service allocation for distributed computing. Tech. rep., IEICE. http://www.alab.ip.titech.ac.jp/~fujiwara/papers/090619ieice-cw_paper_fujiwara.pdf
[17]
Heiser, G., Lam, F., and Russell, S. 1998. Resource management in the mungi single-address-space operating system. In Proceedings of the Australasian Computer Science Conference.
[18]
Huhns, M. and Stephens, L. 2000. Multiagent systems and societies of agents. In Multiagent Systems, G. Weiss Ed., The MIT Press, Cambridge, MA, 79--120.
[19]
Hull, J. H. 2009. Options, Futures and Other Derivatives. Pearson Prentice Hall, NJ.
[20]
Lalis, S. and Karipidis, A. 2000. An open market-based framework for distributed computing over the internet. In Proceedings of the 1st IEEE/ACM International Workshop on Grid Computing (GRID'00). 35--45.
[21]
Lazar, A. and Semret, N. 1997. Auctions for network resource sharing. Tech. rep., Columbia University.
[22]
Miller, M. and Drexler, K. 1998. Markets and computation: Agoric open systems. In The Ecology of Computation, B. Huberman Ed., Elsevier Science Publishers, The Netherlands.
[23]
Motahari-Nezhad, H., Stephenson, B., and Singhal, S. 2009. Outsourcing business to cloud computing services. Tech. rep. HPL-2009-23, Hewlett-Packard. http://www.hpl.hp.com/techreports/2009/HPL-2009-23.pdf
[24]
Nirvanix.com. 2011. Nirvanix homepage. http://www.nirvanix.com/
[25]
Quantcast.com. 2011. http://www.quantcast.com/faq.jsp#How_do_you_collect_your_data.3F
[26]
Sairamesh, J. and Kephart, J. 1998. Price dynamics of vertically differentiated information markets. In Proceedings of the 1st International Conference on Information and Computation Economies.
[27]
Smith, R. and Davis, R. 1980. The contract net protocol: High level communication and control in a distributed problem solver. IEEE Trans. Comput. C-29, 12.
[28]
SmugMug.com. 2009a. http://blogs.smugmug.com/don/2006/11/10/amazon-s3-show-me-the-money/
[29]
SmugMug.com. 2009b. Comments by J.S. http://blogs.smugmug.com/don/2006/11/10/amazon -s3-show-me-the-money/
[30]
Spinler, S. and Huchzermeier, A. 2006. The valuation of options on capacity with cost and demand uncertainty. Euro. J. Oper. Res. 171, 3, 915--934.
[31]
Staimer, M. 2008. The compelling price/performance economics of the nirvanix storage delivery network versus in-house storage. http://www.nirvanix.com/pdfs/Nirvanix_vs_In-house_Storage.pdf
[32]
Staten, J., Yates, S., Gillett, F., Saleh, W., and Dines, R. 2008. Is cloud computing ready for the enterprise? Res. rep., Forrester.
[33]
Stonebraker, M., Devine, R., Kornacker, M., Litwin, W., Pfeffer, A., Sah, A., and Staelin, C. 1994. An economic paradigm for query processing and data migration in mariposa. In Proceedings of the 3rd International Conference on Parallel and Distributed Information Systems. 58--67.
[34]
Waldspurger, C., Hogg, T., Huberman, B., Kephart, J., and Stornetta, W. 1992. Spawn: A distributed computational economy. IEEE Trans. Softw. Engin. 18, 2, 103--117.
[35]
Weatherford, L. and Bodily, S. 1992. A taxonomy and research overview of perishable-asset revenue management: Yield management, overbooking, and pricing. Oper. Res. 40, 5, 831--844.

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    Published In

    cover image ACM Transactions on Management Information Systems
    ACM Transactions on Management Information Systems  Volume 2, Issue 2
    June 2011
    111 pages
    ISSN:2158-656X
    EISSN:2158-6578
    DOI:10.1145/1985347
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 July 2011
    Accepted: 01 May 2011
    Revised: 01 May 2011
    Received: 01 August 2010
    Published in TMIS Volume 2, Issue 2

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    Author Tags

    1. Options
    2. cloud computing
    3. forward contracts
    4. grid computing
    5. online storage

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    • (2021)Modeling-framework for model-based software engineering of complex Internet of things systemsMathematical Biosciences and Engineering10.3934/mbe.202145818:6(9312-9335)Online publication date: 2021
    • (2019)Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling ApproachesIEEE Access10.1109/ACCESS.2019.2930933(1-1)Online publication date: 2019
    • (2018)Efficient Risk Hedging by Dynamic Forward PricingINFORMS Journal on Computing10.5555/2700769.270077225:4(625-642)Online publication date: 30-Dec-2018
    • (2016)Using Financial Instruments to Transfer the Information Security RisksFuture Internet10.3390/fi80200208:2(20)Online publication date: 17-May-2016
    • (2013)Efficient Risk Hedging by Dynamic Forward Pricing: A Study in Cloud ComputingINFORMS Journal on Computing10.1287/ijoc.1120.052625:4(625-642)Online publication date: Nov-2013

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