Dynamic Pricing and Automated Resource Allocation for Complex Information Services: Reinforcement Learning and Combinatorial Auctions

✍ Scribed by Dr. Michael Schwind (auth.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2007
Tongue: English
Leaves: 304
Series: Lecture Notes in Economics and Mathematical Systems 589
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 users’ 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.

✦ Table of Contents

Front Matter....Pages I-XIV
Introduction....Pages 1-26
Dynamic Pricing and Automated Resource Allocation....Pages 27-66
Empirical Assessment of Dynamic Pricing Preference....Pages 67-88
Reinforcement Learning for Dynamic Pricing and Automated Resource Allocation....Pages 89-136
Combinatorial Auctions for Resource Allocation....Pages 137-190
Dynamic Pricing and Automated Resource Allocation Using Combinatorial Auctions....Pages 191-230
Comparison of Reinforcement Learning and Combinatorial Auctions....Pages 231-242
Back Matter....Pages 243-293

✦ Subjects

Business Information Systems; Computer Systems Organization and Communication Networks; Artificial Intelligence (incl. Robotics); Game Theory/Mathematical Methods

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