Titlebook: Dynamic Pricing and Automated Resource Allocation for Complex Information Services; Reinforcement Learni Michael Schwind Book 2007 Springer

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Schmelzdiagramme und Legierungen,services in distributed computer systems. A . is used to control this allocation process by dynamically reacting to supply and demand fluctuations. On this account the first part of this chapter deals with the appropriate definition of dynamic pricing accompanied by a taxonomy of dynamic pricing met

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https://doi.org/10.1007/978-3-642-95777-2 success of online auctions (see section 2.1.2) and accompanied by the development of sophisticated mechanisms for the auctioning of radio frequencies to telecommunication companies in Great Britain and the United States (McMillan 1995), CAs came into the focus of electronic market engineering for o

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https://doi.org/10.1007/978-3-642-95777-2 1.4.3. For this purpose, the first part of this chapter is dedicated to the development and benchmarking of algorithms for CAP solutions in ISIP environments. The second part of this chapter is concerned with the description of an agent-based simulation environment that employs a combinatorial sche

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https://doi.org/10.1007/978-3-642-95777-2n for PCRA in distributed computer systems. In a second step the main results of the empirical evaluation and simulations performed within this work will be discussed in terms of their application to the ISIP task allocation problem portrayed in the initial section 1.4. A catalog of recommendations

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Dynamic Pricing and Automated Resource Allocation for Complex Information Services978-3-540-68003-1Series ISSN 0075-8442 Series E-ISSN 2196-9957

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