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Efficient resource allocation in modern IT services is the focus of this book, which explores advanced allocation mechanisms utilizing artificial intelligence techniques like neural networks and reinforcement learning, alongside nature-inspired optimization methods. It presents two innovative approaches: a yield management strategy for optimizing resource request acceptance and a combinatorial auction addressing resource complementarities. Additionally, the author introduces a method for calculating dynamic resource prices, contributing significantly to the development of grid systems.
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Dynamic Pricing and Automated Resource Allocation for Complex Information Services, Michael Schwind
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- 2007
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