Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 589)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Dynamic Pricing and Automated Resource Allocation for Complex Information Services
Book Subtitle: Reinforcement Learning and Combinatorial Auctions
Authors: Michael Schwind
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-540-68003-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Softcover ISBN: 978-3-540-68002-4Published: 15 February 2007
eBook ISBN: 978-3-540-68003-1Published: 24 April 2007
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XIV, 295
Topics: Mathematics, general, IT in Business, Computer Systems Organization and Communication Networks, Artificial Intelligence, Economic Theory/Quantitative Economics/Mathematical Methods