A quasi-PTAS for unsplittable flow on line graphs

  • Authors:
  • Nikhil Bansal;Amit Chakrabarti;Amir Epstein;Baruch Schieber

  • Affiliations:
  • IBM T. J. Watson Research Center, Yorktown Heights, NY;Dartmouth College, Hanover, NH;Tel Aviv University, Tel Aviv, Israel;IBM T. J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
  • Year:
  • 2006

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Abstract

We study the Unsplittable Flow Problem (UFP) on line graphs and cycles, focusing on the long-standing open question of whether the problem is APX-hard. We describe a deterministic quasi-polynomial time approximation scheme for UFP on line graphs, thereby ruling out an APX-hardness result, unless NP ⊆ DTIME(2polylog(n)). Our result requires a quasi-polynomial bound on all edge capacities and demands in the input instance. We extend this result to undirected cycle graphs.Earlier results on this problem included a polynomial time (2+ε)-approximation under the assumption that no demand exceeds any edge capacity (the "no-bottleneck assumption") and a super-constant integrality gap if this assumption did not hold. Unlike most earlier work on UFP, our results do not require a no-bottleneck assumption.