Maximum flow routing with weighted max-min fairness

Miriam Allalouf, Yuval Shavitt

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

9 Scopus citations

Abstract

Max-min is an established fairness criterion for allocating bandwidth for flows. In this work we look at the combined problem of multi-path routing and bandwidth allocation such that the flow allocation for each connection will be maximized and fairness will be maintained. We use the weighted extension of the max-min criterion to allocate bandwidth in proportion to the flows' demand. Our contribution is an algorithm which, for the first time, solves the combined routing and bandwidth allocation problem for the case where flows are allowed to be splitted along several paths. We use multi commodity flow (MCF) formulation which is solved using linear programming (LP) techniques. These building blocks are used by our algorithm to derive the required optimal routing and allocation.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJosep Solé-Pareta, Jordi Domingo-Pascual, Michael Smirnov, Piet Van Mieghem, Edmundo Monteiro, Peter Reichl, Burkhard Stiller, Richard J. Gibbens, Burkhard Stiller
PublisherSpringer Verlag
Pages278-287
Number of pages10
ISBN (Print)9783540232384
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3266
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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