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Online multi-commodity flow with high demands

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Abstract

This paper deals with the problem of computing, in an online fashion, a maximum benefit multi-commodity flow (ONMCF), where the flow demands may be bigger than the edge capacities of the network. We present an online, deterministic, centralized, all-or-nothing, bi-criteria algorithm. The competitive ratio of the algorithm is constant, and the algorithm augments the capacities by at most a logarithmic factor. The algorithm can handle two types of flow requests: (i) low demand requests that must be routed along a path, and (ii) high demand requests that may be routed using a multi-path flow. Two extensions are discussed: requests with known durations and machine scheduling.

Original languageEnglish
Title of host publicationApproximation and Online Algorithms - 10th International Workshop, WAOA 2012, Revised Selected Papers
Pages16-29
Number of pages14
DOIs
StatePublished - 1 Dec 2013
Event10th International Workshop on Approximation and Online Algorithms, WAOA 2012 - Ljubljana, Slovenia
Duration: 13 Sep 201214 Sep 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7846 LNCS

Conference

Conference10th International Workshop on Approximation and Online Algorithms, WAOA 2012
Country/TerritorySlovenia
CityLjubljana
Period13/09/1214/09/12

Keywords

  • Multi-commodity flow
  • Online algorithms
  • Primal-dual scheme

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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