Continuous Double Auction in Grid Computing: An Agent Based Approach to Maximize Profit for Providers

Haque, Aminul; Alhashmi, Saadat M.; Parthiban, Rajendran

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dc.contributor.author	Haque, Aminul
dc.contributor.author	Alhashmi, Saadat M.
dc.contributor.author	Parthiban, Rajendran
dc.date.accessioned	2018-10-03T10:00:43Z
dc.date.accessioned	2019-05-27T09:59:33Z
dc.date.available	2018-10-03T10:00:43Z
dc.date.available	2019-05-27T09:59:33Z
dc.date.issued	2010-11-01
dc.identifier.uri	http://hdl.handle.net/20.500.11948/3366
dc.description.abstract	Economic models are found efficient in managing heterogeneous computer resources such as storage, CPU and memory for grid computing. Commodity market, double auction and contract-net-protocol economic models have been widely discussed in the literature. These models are suitable for sharing distributed computer resources that belong to different owners. Agent technology can be used to manage these heterogeneous resources without human intervention, since agents are autonomous and intelligent in behavior. In this paper, we develop and simulate an agent-oriented double auction economic model. We compare the performance of our agent-oriented model with traditional double auction model, and show that the agent-oriented model is good in maximizing profit for providers. Full Text Link: http://doi.org/10.1109/WI-IAT.2010.105	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE Xplore	en_US
dc.subject	Biological system modeling	en_US
dc.subject	Computational modeling	en_US
dc.subject	Pricing	en_US
dc.subject	Grid computing	en_US
dc.subject	Resource management	en_US
dc.subject	Supply and demand	en_US
dc.title	Continuous Double Auction in Grid Computing: An Agent Based Approach to Maximize Profit for Providers	en_US
dc.type	Article	en_US