DocumentCode :
3240673
Title :
Pricing Strategies in Grid Market: Simulation and Analysis
Author :
Xie, Xia ; Huang, Jin ; Jin, Hai ; Wu, Song ; Koh, Melvin ; Song, Jie ; See, Simon
Author_Institution :
Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2008
fDate :
24-26 Oct. 2008
Firstpage :
532
Lastpage :
538
Abstract :
The most important concept of a market is price - the terms on which the trading objects (products or services) are exchanged. In an ideal market, the price is a reflection of the current state of the market, and therefore it should be dynamic. From the seller perspective, using an effective dynamic pricing strategy can make a difference between making a profit or loss in a market. In a grid marketplace, the strategy is even more important given it is very dynamic and volatile nature. In this paper, we describe and review three different pricing strategies for the grid market: demand-response, revenue-response and price-maximizing strategy, and analyze their behavior in different market conditions using simulation approach. Our results show that two of the strategies are able to generate high revenue in various market conditions.
Keywords :
grid computing; pricing; profitability; demand-response strategy; dynamic pricing strategy; grid market; price-maximizing strategy; revenue-response strategy; Analytical models; Asia; Computational modeling; Computers; Game theory; Grid computing; Load management; Mesh generation; Pricing; Reflection; Auction; grid market; pricing strategies; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grid and Cooperative Computing, 2008. GCC '08. Seventh International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3449-7
Type :
conf
DOI :
10.1109/GCC.2008.110
Filename :
4662912
Link To Document :
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