Congestion Minimization for Multipath Routing via Multiroute Flows

Congestion minimization is a well-known routing problem for which there is an O(log n/loglog n)-approximation via randomized rounding due to Raghavan and Thompson. Srinivasan formally introduced the low-congestion multi-path routing problem as a generalization of the (single-path) congestion minimization problem. The goal is to route multiple disjoint paths for each pair, for the sake of fault tolerance. Srinivasan developed a dependent randomized scheme for a special case of the multi-path problem when the input consists of a given set of disjoint paths for each pair and the goal is to select a given subset of them. Subsequently Doerr gave a different dependentrounding scheme and derandomization. Doerr et al. considered the problem where the paths have to be chosen, and applied the dependent rounding technique and evaluated it experimentally. However, their algorithm does not maintain the required disjointness property without which the problem easily reduces to the standard congestion minimization problem. In this note we show a simple algorithm that solves the problem correctly without the need for dependent rounding --- standard independent rounding suffices. This is made possible via the notion of multiroute flows originally suggested by Kishimoto et al. One advantage of the simpler rounding is an improved bound on the congestion when the path lengths are short.

[1]  Wataru Kishimoto,et al.  m-route flows in a network , 1994 .

[2]  Aravind Srinivasan,et al.  An extension of the Lovász local lemma, and its applications to integer programming , 1996, SODA '96.

[3]  Prabhakar Raghavan,et al.  Randomized rounding: A technique for provably good algorithms and algorithmic proofs , 1985, Comb..

[4]  Aravind Srinivasan,et al.  New Constructive Aspects of the Lovasz Local Lemma , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.

[5]  Gianpaolo Oriolo,et al.  Reserving Resilient Capacity in a Network , 2001, SIAM J. Discret. Math..

[6]  L. Trotter,et al.  Integer Rounding and Polyhedral Decomposition for Totally Unimodular Systems , 1978 .

[7]  Andrew McGregor,et al.  Island hopping and path colouring with applications to WDM network design , 2007, SODA '07.

[8]  Magnus Wahlström,et al.  Randomized Rounding for Routing and Covering Problems: Experiments and Improvements , 2010, SEA.

[9]  Venkatesan Guruswami,et al.  Hardness of routing with congestion in directed graphs , 2007, STOC '07.

[10]  Gábor Tardos,et al.  A constructive proof of the general lovász local lemma , 2009, JACM.

[11]  Benjamin Doerr Randomly Rounding Rationals with Cardinality Constraints and Derandomizations , 2007, STACS.

[12]  Chandra Chekuri,et al.  Prize-Collecting Survivable Network Design in Node-Weighted Graphs , 2012, APPROX-RANDOM.

[13]  W. Kishimoto A method for obtaining the maximum multiroute flows in a network , 1996 .

[14]  Mark Idleman,et al.  Approximation algorithms for the minimum congestion routing problem via k-route flows , 2017 .

[15]  Aravind Srinivasan,et al.  Distributions on level-sets with applications to approximation algorithms , 2001, Proceedings 2001 IEEE International Conference on Cluster Computing.

[16]  Charu C. Aggarwal,et al.  On multiroute maximum flows in networks , 2002, Networks.

[17]  Jan Vondrák,et al.  Dependent Randomized Rounding via Exchange Properties of Combinatorial Structures , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.

[18]  Rajiv Gandhi,et al.  Dependent rounding and its applications to approximation algorithms , 2006, JACM.