Approximation algorithms for the unsplittable flow problem on paths and trees

Khaled Elbassioni, Naveen Garg, Divya Gupta, Amit Kumar, Vishal Narula, Arindam Pal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

We study the UNSPLITTABLE FLOW PROBLEM (UFP) and related variants, namely UFP WITH BAG CONSTRAINTS and UFP WITH ROUNDS, on paths and trees. We provide improved constant factor approximation algorithms for all these problems under the no bottleneck assumption (NBA), which says that the maximum demand for any source-sink pair is at most the minimum capacity of any edge. We obtain these improved results by expressing a feasible solution to a natural LP relaxation of the UFP as a near-convex combination of feasible integral solutions.

Original languageBritish English
Title of host publication32nd International Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2012
Pages267-275
Number of pages9
DOIs
StatePublished - 2012
Event32nd International Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2012 - Hyderabad, India
Duration: 15 Dec 201217 Dec 2012

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume18
ISSN (Print)1868-8969

Conference

Conference32nd International Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2012
Country/TerritoryIndia
CityHyderabad
Period15/12/1217/12/12

Keywords

  • Approximation algorithms
  • Integer decomposition
  • Linear programming
  • Scheduling
  • Unsplittable flows

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