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This paper addresses the issue of pricing-based distributed resource allocation via scheduling in a communication network. Introducing the temporal aspect in the resource allocation problem presents new challenges e.g. in accounting for the durations and deadlines of the resource requests. Dynamic real-time pricing concepts are discussed for the decentralized sharing of network resources. A numerical example illustrates the benefit of congestion based pricing in a dynamic communication network. The quality of service that results from decentralized resource allocation is studied from the point of view of a power-controlled wireless network. The model is based on a dynamic noncooperative game and is related to recent work on centrally optimal (Pareto-optimal) distributed dynamic resource allocation.
 
This paper addresses the issue of pricing-based distributed resource allocation via scheduling in a communication network. Introducing the temporal aspect in the resource allocation problem presents new challenges e.g. in accounting for the durations and deadlines of the resource requests. Dynamic real-time pricing concepts are discussed for the decentralized sharing of network resources. A numerical example illustrates the benefit of congestion based pricing in a dynamic communication network. The quality of service that results from decentralized resource allocation is studied from the point of view of a power-controlled wireless network. The model is based on a dynamic noncooperative game and is related to recent work on centrally optimal (Pareto-optimal) distributed dynamic resource allocation.
 
Document type: Part of book or chapter of book
 
 
== Full document ==
 
<pdf>Media:Draft_Content_128685411-beopen9803-3404-document.pdf</pdf>
 
  
  
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* [https://link.springer.com/content/pdf/10.1007%2F3-540-47906-6_69.pdf https://link.springer.com/content/pdf/10.1007%2F3-540-47906-6_69.pdf]
  
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Latest revision as of 17:28, 21 January 2021

Abstract

This paper addresses the issue of pricing-based distributed resource allocation via scheduling in a communication network. Introducing the temporal aspect in the resource allocation problem presents new challenges e.g. in accounting for the durations and deadlines of the resource requests. Dynamic real-time pricing concepts are discussed for the decentralized sharing of network resources. A numerical example illustrates the benefit of congestion based pricing in a dynamic communication network. The quality of service that results from decentralized resource allocation is studied from the point of view of a power-controlled wireless network. The model is based on a dynamic noncooperative game and is related to recent work on centrally optimal (Pareto-optimal) distributed dynamic resource allocation.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/3-540-47906-6_69
https://dblp.uni-trier.de/db/conf/networking/networking2002.html#Heikkinen02,
https://www.scipedia.com/public/Heikkinen_2007a,
https://rd.springer.com/chapter/10.1007/3-540-47906-6_69,
https://academic.microsoft.com/#/detail/142536348
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Document information

Published on 01/01/2007

Volume 2007, 2007
DOI: 10.1007/3-540-47906-6_69
Licence: CC BY-NC-SA license

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