Dynamic Pricing and Automated Resource Allocation for Complex Information Services


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Dynamic Pricing and Automated Resource Allocation for Complex Information Services

副标题: Reinforcement Learning and Combinatorial Auctions

ISBN: 9783540680024

作者: Michael Schwind

出版社: Springer Verlag

页数: 303

定价: $ 157.07

装帧: Pap

内容简介


Many firms provide their customers with online information products which require limited resources such as server capacity. This book develops allocation mechanisms that aim to ensure an efficient resource allocation in modern IT-services. Recent methods of artificial intelligence, such as neural networks and reinforcement learning, and nature-oriented optimization methods, such as genetic algorithms and simulated annealing, are advanced and applied to allocation processes in distributed IT-infrastructures, e.g. grid systems. The author presents two methods, both of which using the usersa (TM) willingness-to-pay to control the allocation process: The first approach uses a yield management method that tries to learn an optimal acceptance strategy for resource requests. The second method is a combinatorial auction able to deal with resource complementarities. The author finally generates a method to calculate dynamic resource prices, marking an important step towards the industrialization of grid systems.