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A logarithmic approximation for unsplittable flow on line graphs

Published: 01 January 2014 Publication History

Abstract

We consider the unsplittable flow problem on a line. In this problem, we are given a set of n tasks, each specified by a start time si, an end time ti, a demand di > 0, and a profit pi > 0. A task, if accepted, requires di units of “bandwidth” from time si to ti and accrues a profit of pi. For every time t, we are also specified the available bandwidth ct, and the goal is to find a subset of tasks with maximum profit subject to the bandwidth constraints.
We present the first polynomial time O(log n) approximation algorithm for this problem. This significantly advances the state of the art, as no polynomial time o(n) approximation was known previously. Previous results for this problem were known only in more restrictive settings; in particular, either the instance satisfies the so-called “no-bottleneck” assumption: maxi di ≤ mint ct, or the ratio of both maximum to minimum demands and maximum to minimum capacities are polynomially (or quasi-polynomially) bounded in n. Our result, on the other hand, does not require these assumptions.
Our algorithm is based on a combination of dynamic programming and rounding a natural linear programming relaxation for the problem. While there is an Ω(n) integrality gap known for this LP relaxation, our key idea is to exploit certain structural properties of the problem to show that instances that are bad for the LP can in fact be handled using dynamic programming.

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    Published In

    cover image ACM Transactions on Algorithms
    ACM Transactions on Algorithms  Volume 10, Issue 1
    January 2014
    73 pages
    ISSN:1549-6325
    EISSN:1549-6333
    DOI:10.1145/2578701
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 January 2014
    Accepted: 01 June 2009
    Revised: 01 March 2009
    Received: 01 February 2007
    Published in TALG Volume 10, Issue 1

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    Author Tags

    1. Approximation algorithms
    2. resource allocation problem
    3. scheduling
    4. unsplittable flow

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    • (2022)Approximations for generalized unsplittable flow on paths with application to power systems optimizationAnnals of Operations Research10.1007/s10479-022-05054-y320:1(173-204)Online publication date: 7-Nov-2022
    • (2021)Algorithms for a Topology-aware Massively Parallel Computation ModelProceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems10.1145/3452021.3458318(199-214)Online publication date: 20-Jun-2021
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