Risk Management and Optimal Pricing in Online Storage Grids

被引:19
作者
Das, Sanjukta [1 ]
Du, Anna Ye [1 ]
Gopal, Ram [2 ]
Ramesh, R. [3 ]
机构
[1] SUNY Buffalo, Dept Management Sci & Syst, Buffalo, NY 14260 USA
[2] Univ Connecticut, Dept Operat & Informat Management, Storrs, CT 06269 USA
[3] SUNY Buffalo, Dept Management Sci & Syst, Buffalo, NY 14260 USA
关键词
online storage; grid computing; forward contracts; market mechanism design;
D O I
10.1287/isre.1100.0288
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Online storage service providers grant a way for companies to avoid spending resources on maintaining their own in-house storage infrastructure and thereby allowing them to focus on their core business activities. These providers, however, follow a fixed, posted pricing strategy that charges the same price in each time period and thus bear all the risk arising out of demand uncertainties faced by their client companies. We examine the effects of providing a spot market with dynamic prices and forward contracts to hedge against future revenue uncertainty. We derive revenue-maximizing spot and forward prices for a single seller facing a known set of buyers. We perform a simulation study using publicly available traffic data regarding Amazon S3 clients from Alexa.com to validate our analytical results. Our field study supports our analysis and indicates that spot markets alone can enhance revenues to Amazon, but this comes at the cost of increased risks due to the increased market share in the spot markets. Furthermore, adding a forward contract feature to the spot markets can reduce risks while still providing the benefits of enhanced revenues. Although the buyers incur an increase in costs in the spot market, adding a forward contract does not cause any additional cost increase while transferring the risk to the buyers. Thus, storage grid providers can greatly benefit by applying a forward contract alongside the spot market.
引用
收藏
页码:756 / 773
页数:18
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