Congestion pricing is a strategy based on a mathematical framework from optimization theory and economics. A congestion measure (shadow price) is computed at each network node and fed back to the sources. The sources adapt their rates according to a utility function and the aggregate price information. It can be shown that this will lead to a social optimum of the entire network while maintaining low queue sizes and high utilization. This work focuses on the implementation issues such as price feedback strategies and scalability of the concept. Single and multiple bit marking strategies are compared to high-resolution explicit price feedback in an extended network scenario. Furthermore, different algorithms describing the sources' rate adaptation are evaluated.
%0 Book Section
%1 Zimmermann20011187
%A Zimmermann, S.
%A Hamann, T.
%A Killat, U.
%B Teletraffic Engineering in the Internet EraProceedings of the International Teletraffic Congress - ITC-I7
%D 2001
%E Jorge Moreira de Souza, Nelson L.S. da Fonseca
%E de Souza e Silva, Edmundo A.
%I Elsevier
%K itc itc17
%P 1187 - 1200
%R http://dx.doi.org/10.1016/S1388-3437(01)80202-X
%T Dynamics of different congestion pricing strategies
%V 4
%X Congestion pricing is a strategy based on a mathematical framework from optimization theory and economics. A congestion measure (shadow price) is computed at each network node and fed back to the sources. The sources adapt their rates according to a utility function and the aggregate price information. It can be shown that this will lead to a social optimum of the entire network while maintaining low queue sizes and high utilization. This work focuses on the implementation issues such as price feedback strategies and scalability of the concept. Single and multiple bit marking strategies are compared to high-resolution explicit price feedback in an extended network scenario. Furthermore, different algorithms describing the sources' rate adaptation are evaluated.
@incollection{Zimmermann20011187,
abstract = {Congestion pricing is a strategy based on a mathematical framework from optimization theory and economics. A congestion measure (shadow price) is computed at each network node and fed back to the sources. The sources adapt their rates according to a utility function and the aggregate price information. It can be shown that this will lead to a social optimum of the entire network while maintaining low queue sizes and high utilization. This work focuses on the implementation issues such as price feedback strategies and scalability of the concept. Single and multiple bit marking strategies are compared to high-resolution explicit price feedback in an extended network scenario. Furthermore, different algorithms describing the sources' rate adaptation are evaluated. },
added-at = {2016-07-12T14:53:52.000+0200},
author = {Zimmermann, S. and Hamann, T. and Killat, U.},
biburl = {https://www.bibsonomy.org/bibtex/214a7458ee8c6391c58d55a4a1ffaf193/itc},
booktitle = {Teletraffic Engineering in the Internet EraProceedings of the International Teletraffic Congress - ITC-I7},
doi = {http://dx.doi.org/10.1016/S1388-3437(01)80202-X},
editor = {Jorge Moreira de Souza, Nelson L.S. da Fonseca and de Souza e Silva, Edmundo A.},
interhash = {3d098295ae0fc3fccbf421d566caf1a2},
intrahash = {14a7458ee8c6391c58d55a4a1ffaf193},
issn = {1388-3437},
keywords = {itc itc17},
pages = {1187 - 1200},
publisher = {Elsevier},
series = {Teletraffic Science and Engineering },
timestamp = {2020-04-30T18:17:29.000+0200},
title = {Dynamics of different congestion pricing strategies },
volume = 4,
year = 2001
}