Lecture Notes in Economics and Mathematical Systems

Dynamic Pricing and Automated Resource Allocation for Complex Information Services

Reinforcement Learning and Combinatorial Auctions

Authors: Schwind, Michael

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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.

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-540-68003-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $149.99
price for USA
  • ISBN 978-3-540-68002-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Dynamic Pricing and Automated Resource Allocation for Complex Information Services
Book Subtitle
Reinforcement Learning and Combinatorial Auctions
Authors
Series Title
Lecture Notes in Economics and Mathematical Systems
Series Volume
589
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-68003-1
DOI
10.1007/978-3-540-68003-1
Softcover ISBN
978-3-540-68002-4
Series ISSN
0075-8442
Edition Number
1
Number of Pages
XIV, 295
Topics