Dynamic pricing and automated resource allocation for complex information services : reinforcement learning and combinatorial auctions /

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Bibliographic Details
Author / Creator:	Schwind, Michael, 1965-
Imprint:	Berlin : Springer, 2007.
Description:	1 online resource (xiv, 293 p.) : ill.
Language:	English
Series:	Lecture notes in economics and mathematical systems ; 589 Lecture notes in economics and mathematical systems ; 589.
Subject:	Information technology -- Economic aspects. Information technology -- Economic aspects.
Format:	E-Resource Dissertations Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/8882451

Hidden Bibliographic Details
ISBN:	9783540680031 3540680039
Notes:	Thesis (Ph. D.)--Frankfurt University, 2007. Includes bibliographical references (p. 263-286). Description based on print version record.
Summary:	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??? w.
Other form:	Print version: Schwind, Michael, 1965- Dynamic pricing and automated resource allocation for complex information services. Berlin : Springer, 2007 9783540680024 3540680020

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