(Created page with " == Abstract == This paper addresses the issue of pricing-based distributed resource allocation via scheduling in a communication network. Introducing the temporal aspect in...") |
|||
| (One intermediate revision by the same user not shown) | |||
| Line 3: | Line 3: | ||
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. | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| Line 16: | Line 11: | ||
* [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] | * [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] | ||
| − | * [http://link.springer.com/content/pdf/10.1007/3-540-47906-6_69 http://link.springer.com/content/pdf/10.1007/3-540-47906-6_69],[http://dx.doi.org/10.1007/3-540-47906-6_69 http://dx.doi.org/10.1007/3-540-47906-6_69] | + | * [http://link.springer.com/content/pdf/10.1007/3-540-47906-6_69 http://link.springer.com/content/pdf/10.1007/3-540-47906-6_69], |
| + | : [http://dx.doi.org/10.1007/3-540-47906-6_69 http://dx.doi.org/10.1007/3-540-47906-6_69] | ||
| − | * [https://link.springer.com/chapter/10.1007%2F3-540-47906-6_69 https://link.springer.com/chapter/10.1007%2F3-540-47906-6_69],[https://academic.microsoft.com/#/detail/142536348 https://academic.microsoft.com/#/detail/142536348] | + | * [https://link.springer.com/chapter/10.1007%2F3-540-47906-6_69 https://link.springer.com/chapter/10.1007%2F3-540-47906-6_69], |
| + | : [https://dblp.uni-trier.de/db/conf/networking/networking2002.html#Heikkinen02 https://dblp.uni-trier.de/db/conf/networking/networking2002.html#Heikkinen02], | ||
| + | : [https://www.scipedia.com/public/Heikkinen_2007a https://www.scipedia.com/public/Heikkinen_2007a], | ||
| + | : [https://rd.springer.com/chapter/10.1007/3-540-47906-6_69 https://rd.springer.com/chapter/10.1007/3-540-47906-6_69], | ||
| + | : [https://academic.microsoft.com/#/detail/142536348 https://academic.microsoft.com/#/detail/142536348] | ||
Latest revision as of 16:28, 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:
Document information
Published on 01/01/2007
Volume 2007, 2007
DOI: 10.1007/3-540-47906-6_69
Licence: CC BY-NC-SA license
Share this document
Keywords
claim authorship
Are you one of the authors of this document?