Managing Revenue in Grids

The distributed usage of computing resources over a large-scale network allows users to receive and offer resources on demand. The on demand paradigm leads to dynamic and unpredictable usage of resources, since every user in the network will try to maximize his utility by selfish behavior. The customer's behavior can be actuated by pricing policies to lower demand at peak time. Revenue Management as a relatively new economic paradigm provides various tools to optimally allocate capacity and increase revenue. We provide a framework how the matured concepts of Revenue Management can be deployed to Grid Computing. We analyze whether the Grid Computing domain has notable differences from the airline industry or other common areas for Revenue Management like restaurant, hotel or car rental industries. Hence, we outline tools and methods known from Revenue Management and how they can be applied to Grid Computing.

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