Traffic-Oblivious Multi-Commodity Flow Network Design

Fuente: arXiv
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Auteurs principaux: Chimani, Markus, Ilsen, Max
Format: Preprint
Publié: 2025
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author Chimani, Markus
Ilsen, Max
author_facet Chimani, Markus
Ilsen, Max
contents We consider the Minimum Multi-Commodity Flow Subgraph (MMCFS) problem: given a directed graph $G$ with edge capacities $\mathit{cap}$ and a retention ratio $α\in(0,1)$, find an edge-wise minimum subgraph $G' \subseteq G$ such that for all traffic matrices $T$ routable in $G$ using a multi-commodity flow, $α\cdot T$ is routable in $G'$. This natural yet novel problem is motivated by recent research that investigates how the power consumption in backbone computer networks can be reduced by turning off connections during times of low demand without compromising the quality of service. Since the actual traffic demands are generally not known beforehand, our approach must be traffic-oblivious, i.e., work for all possible sets of simultaneously routable traffic demands in the original network. In this paper we present the problem, relate it to other known problems in literature, and show several structural results, including a reformulation, maximum possible deviations from the optimum, and NP-hardness (as well as a certain inapproximability) already on very restricted instances. The most significant contribution is a $\max(\frac{1}α, 2)$-approximation based on a surprisingly simple LP-rounding scheme. We also give instances where this worst-case approximation ratio is met and thus prove that our analysis is tight.
format Preprint
id arxiv_https___arxiv_org_abs_2504_16744
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Traffic-Oblivious Multi-Commodity Flow Network Design
Chimani, Markus
Ilsen, Max
Data Structures and Algorithms
05C21 (Primary) 05C85, 68W25 (Secondary)
G.2.2; F.2.2
We consider the Minimum Multi-Commodity Flow Subgraph (MMCFS) problem: given a directed graph $G$ with edge capacities $\mathit{cap}$ and a retention ratio $α\in(0,1)$, find an edge-wise minimum subgraph $G' \subseteq G$ such that for all traffic matrices $T$ routable in $G$ using a multi-commodity flow, $α\cdot T$ is routable in $G'$. This natural yet novel problem is motivated by recent research that investigates how the power consumption in backbone computer networks can be reduced by turning off connections during times of low demand without compromising the quality of service. Since the actual traffic demands are generally not known beforehand, our approach must be traffic-oblivious, i.e., work for all possible sets of simultaneously routable traffic demands in the original network. In this paper we present the problem, relate it to other known problems in literature, and show several structural results, including a reformulation, maximum possible deviations from the optimum, and NP-hardness (as well as a certain inapproximability) already on very restricted instances. The most significant contribution is a $\max(\frac{1}α, 2)$-approximation based on a surprisingly simple LP-rounding scheme. We also give instances where this worst-case approximation ratio is met and thus prove that our analysis is tight.
title Traffic-Oblivious Multi-Commodity Flow Network Design
topic Data Structures and Algorithms
05C21 (Primary) 05C85, 68W25 (Secondary)
G.2.2; F.2.2
url https://arxiv.org/abs/2504.16744