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In order to provide better Quality-of-Service (QoS) in large networks, several congestion pricing proposals have been made in the last decade. Usually, however, those proposals studied optimal strategies and did not focus on implementation issues. Our main contribution in this paper is to address implementation issues for congestion-sensitive pricing over a single domain of the differentiated-services (diff-serv) architecture of the Internet. We propose a new congestion-sensitive pricing framework Distributed Dynamic Capacity Contracting (Distributed-DCC), which is able to provide a range of fairness (e.g. max-min, proportional) in rate allocation by using pricing as a tool. Within the Distributed-DCC framework, we develop an Edge-to-Edge Pricing Scheme (EEP) and present simulation experiments of it. | In order to provide better Quality-of-Service (QoS) in large networks, several congestion pricing proposals have been made in the last decade. Usually, however, those proposals studied optimal strategies and did not focus on implementation issues. Our main contribution in this paper is to address implementation issues for congestion-sensitive pricing over a single domain of the differentiated-services (diff-serv) architecture of the Internet. We propose a new congestion-sensitive pricing framework Distributed Dynamic Capacity Contracting (Distributed-DCC), which is able to provide a range of fairness (e.g. max-min, proportional) in rate allocation by using pricing as a tool. Within the Distributed-DCC framework, we develop an Edge-to-Edge Pricing Scheme (EEP) and present simulation experiments of it. | ||
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* [https://link.springer.com/content/pdf/10.1007%2F3-540-45812-3_16.pdf https://link.springer.com/content/pdf/10.1007%2F3-540-45812-3_16.pdf] | * [https://link.springer.com/content/pdf/10.1007%2F3-540-45812-3_16.pdf https://link.springer.com/content/pdf/10.1007%2F3-540-45812-3_16.pdf] | ||
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+ | * [http://link.springer.com/content/pdf/10.1007/3-540-45812-3_16 http://link.springer.com/content/pdf/10.1007/3-540-45812-3_16], | ||
+ | : [http://dx.doi.org/10.1007/3-540-45812-3_16 http://dx.doi.org/10.1007/3-540-45812-3_16] under the license http://www.springer.com/tdm | ||
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+ | * [https://link.springer.com/chapter/10.1007/3-540-45812-3_16 https://link.springer.com/chapter/10.1007/3-540-45812-3_16], | ||
+ | : [http://core.ac.uk/display/24502204 http://core.ac.uk/display/24502204], | ||
+ | : [https://www.scipedia.com/public/Yuksel_Kalyanaraman_2007a https://www.scipedia.com/public/Yuksel_Kalyanaraman_2007a], | ||
+ | : [https://dblp.uni-trier.de/db/conf/mmns/mmns2002.html#YukselK02 https://dblp.uni-trier.de/db/conf/mmns/mmns2002.html#YukselK02], | ||
+ | : [http://www.shivkumar.org/research/papers/murat-ddcc.pdf http://www.shivkumar.org/research/papers/murat-ddcc.pdf], | ||
+ | : [https://rd.springer.com/chapter/10.1007/3-540-45812-3_16 https://rd.springer.com/chapter/10.1007/3-540-45812-3_16], | ||
+ | : [https://academic.microsoft.com/#/detail/1580176833 https://academic.microsoft.com/#/detail/1580176833] |
In order to provide better Quality-of-Service (QoS) in large networks, several congestion pricing proposals have been made in the last decade. Usually, however, those proposals studied optimal strategies and did not focus on implementation issues. Our main contribution in this paper is to address implementation issues for congestion-sensitive pricing over a single domain of the differentiated-services (diff-serv) architecture of the Internet. We propose a new congestion-sensitive pricing framework Distributed Dynamic Capacity Contracting (Distributed-DCC), which is able to provide a range of fairness (e.g. max-min, proportional) in rate allocation by using pricing as a tool. Within the Distributed-DCC framework, we develop an Edge-to-Edge Pricing Scheme (EEP) and present simulation experiments of it.
The different versions of the original document can be found in:
Published on 01/01/2007
Volume 2007, 2007
DOI: 10.1007/3-540-45812-3_16
Licence: CC BY-NC-SA license
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