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Dynamic pricing and automated resource allocation for complex information services: reinforcement learning and combinatorial auctions
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 n...
Autores principales: | , , |
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Lenguaje: | eng |
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Springer
2007
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-540-68003-1 http://cds.cern.ch/record/2116496 |
_version_ | 1780949215407505408 |
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author | Schwind, Michael Künzi, H P Fandel, G |
author_facet | Schwind, Michael Künzi, H P Fandel, G |
author_sort | Schwind, Michael |
collection | CERN |
description | 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 |
id | cern-2116496 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2007 |
publisher | Springer |
record_format | invenio |
spelling | cern-21164962021-04-21T19:56:42Zdoi:10.1007/978-3-540-68003-1http://cds.cern.ch/record/2116496engSchwind, MichaelKünzi, H PFandel, GDynamic pricing and automated resource allocation for complex information services: reinforcement learning and combinatorial auctionsMathematical Physics and MathematicsMany 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??? wSpringeroai:cds.cern.ch:21164962007 |
spellingShingle | Mathematical Physics and Mathematics Schwind, Michael Künzi, H P Fandel, G Dynamic pricing and automated resource allocation for complex information services: reinforcement learning and combinatorial auctions |
title | Dynamic pricing and automated resource allocation for complex information services: reinforcement learning and combinatorial auctions |
title_full | Dynamic pricing and automated resource allocation for complex information services: reinforcement learning and combinatorial auctions |
title_fullStr | Dynamic pricing and automated resource allocation for complex information services: reinforcement learning and combinatorial auctions |
title_full_unstemmed | Dynamic pricing and automated resource allocation for complex information services: reinforcement learning and combinatorial auctions |
title_short | Dynamic pricing and automated resource allocation for complex information services: reinforcement learning and combinatorial auctions |
title_sort | dynamic pricing and automated resource allocation for complex information services: reinforcement learning and combinatorial auctions |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-540-68003-1 http://cds.cern.ch/record/2116496 |
work_keys_str_mv | AT schwindmichael dynamicpricingandautomatedresourceallocationforcomplexinformationservicesreinforcementlearningandcombinatorialauctions AT kunzihp dynamicpricingandautomatedresourceallocationforcomplexinformationservicesreinforcementlearningandcombinatorialauctions AT fandelg dynamicpricingandautomatedresourceallocationforcomplexinformationservicesreinforcementlearningandcombinatorialauctions |