2.1 Randomized Rounding 12.1.1 Min Congestion Routing Problem
نویسنده
چکیده
xie ≥ 0 ∀i,∀e The sets δ+(v) and δ−(v) correspond to the incoming and outgoing flow, respectively, for vertex v. The summation constraints then enforce flow conservation, and source/sink assignments. Since the objective function is to minimize t, which is constrained to be an upper bound for the flow across any edge, t will give us the (possibly fractional) congestion for a solution point of this LP. In order to recover an integral/unsplittable flow solution from the LP solution, we will consider an equivalent formulation of the LP.
منابع مشابه
Congestion Minimization for Multipath Routing via Multiroute Flows
Congestion minimization is a well-known routing problem for which there is an O(logn/ log logn)approximation via randomized rounding [17]. Srinivasan [18] 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. Srinivasa...
متن کاملChoosing Paths to Minimize Congestion using Randomized Rounding
To see a more complex application of Chernoff and Union Bounds, we will consider a randomized approximation algorithm for a routing problem trying to minimize congestion. We are given a (directed) graph G = (V,E), with source-sink pairs (si, ti). Each pair should be connected with a single path Pi. The congestion (or load) Le of an edge e is the number of paths Pi using e, and our goal is to mi...
متن کاملDependent Randomized Rounding for Matroid Polytopes and Applications
Motivated by several applications, we consider the problem of randomly rounding a fractional solutionin a matroid (base) polytope to an integral one. We consider the pipage rounding technique [5, 6, 36] andalso present a new technique, randomized swap rounding. Our main technical results are concentrationbounds for functions of random variables arising from these rounding techniques...
متن کاملRandomized Pipage Rounding for Matroid Polytopes and Applications
We present concentration bounds for linear functions of random variables arising from the pipage rounding procedure on matroid polytopes. As an application, we give a (1 − 1/e − ǫ)-approximation algorithm for the problem of maximizing a monotone submodular function subject to 1 matroid and k linear constraints, for any constant k ≥ 1 and ǫ > 0. This generalizes the result for k linear constrain...
متن کاملHardness of Low Congestion Routing in Directed Graphs
We prove a strong inapproximability result for routing on directed graphs with low congestion. Given as input a directed graph on N vertices and a set of source-destination pairs that can be connected via edge-disjoint paths, we prove that it is hard, assuming NP doesn’t have n log n) time randomized algorithms, to route even a 1/N fraction of the pairs, even if we are allowed to use each edge ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007