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, or grid systems.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dynamic Pricing and Automated Resource Allocation.- Empirical Assessment of Dynamic Pricing Preference.- Reinforcement Learning for Dynamic Pricing and Automated Resource Allocation.- Combinatorial Auctions for Resource Allocation.- Dynamic Pricing and Automated Resource Allocation Using Combinatorial Auctions.- Comparison of Reinforcement Learning and Combinatorial Auctions.
Product Description:Book by Schwind Michael
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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EUR 3,31
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Descrizione libro Springer, 2007. Paperback. Condizione: New. 2007. pp. 312. Codice articolo 26301977
Descrizione libro Springer, 2007. Paperback. Condizione: New. 2007. pp. 312 Illus. Codice articolo 7545926
Descrizione libro Condizione: New. Codice articolo 5028282-n
Descrizione libro Springer Berlin Heidelberg 2007-02-15, Berlin, 2007. paperback. Condizione: New. 2007. Language: ENG. Codice articolo 9783540680024
Descrizione libro Springer Berlin, 2007. Kartoniert / Broschiert. Condizione: New. 2007. Dynamic Pricing and Automated Resource Allocation for Complex Information Services | Reinforcement Learning and Combinatorial Auctions | Michael Schwind | Taschenbuch | Lecture Notes in Economics and Mathematical Systems | Book | Englisch | 2007. Codice articolo 102127896.201006
Descrizione libro Springer, Berlin, 2007. Kartoniert / Broschiert. Condizione: New. Many firms provide their customers with online information products which require limited resources such as server capacity. This book develops allocation mecha. Codice articolo 4898519
Descrizione libro Springer, 2007. Paperback. Condizione: New. 2007. Codice articolo 5028282-n
Descrizione libro Springer 2007-02-15, 2007. Paperback. Condizione: New. Codice articolo 6666-LBR-9783540680024
Descrizione libro Springer-Verlag Gmbh Feb 2007, 2007. Taschenbuch. Condizione: Neu. Neuware - 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. 293 pp. Englisch. Codice articolo 9783540680024
Descrizione libro Springer-Verlag Gmbh Feb 2007, 2007. Taschenbuch. Condizione: Neu. Neuware - 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. 293 pp. Englisch. Codice articolo 9783540680024