Approximation algorithms for the unsplittable flow problem
We present approximation algorithms for the unsplittable flow problem (UFP) in undirected graphs. As is standard in this line of research, we assume that the maximum demand is at most the minimum Capacity. We focus on the non-uniform capacity case in which the edge capacities can vary arbitrarily over the graph. Our results are: We obtain an O(Delta alpha(-1) log(2) n) approximation ratio for UFP, where n is the number of vertices, Delta is the maximum degree, and alpha is the expansion of the graph. Furthermore, if we specialize to the case where all edges have the same capacity, Our algorithm gives an O(Delta alpha(-1) log n) approximation. For certain strong constant-degree expanders considered by Frieze [17] we obtain an O(root log n) approximation for the uniform capacity case. For UFP on the line and the ring, we give the first constant-factor approximation algorithms. All of the above results improve if the maximum demand is bounded away from the minimum capacity. The above results either improve upon or are incomparable with previously known results for these problems. The main technique used for these results is randomized rounding followed by greedy alteration, and is inspired by the use of this idea in recent work.
approximation algorithms unsplittable flow problem expanders randomized rounding alteration disjoint paths line networks ring network