[en] Segment routing, a modern protocol enhancing traffic engineering, introduces flexibility by enabling traffic to take detours. This talk tackles the challenge of optimizing routing in the face of uncertain traffic distribution. Unlike traditional methods relying on a single traffic matrix, our approach considers an infinite set of matrices defined by linear constraints. Our goal is to optimize routing under the worst-case scenario within this set. Through innovative formulations, our results showcase a substantial speed improvement in optimization compared to traditional methods, offering an efficient alternative to exploring all extreme points in the matrix set.
Disciplines :
Quantitative methods in economics & management Computer science
Author, co-author :
Fortz, Bernard ; Université de Liège - ULiège > HEC Liège Research > HEC Liège Research: Business Analytics & Supply Chain Mgmt
Callebaut, Hugo
De Boeck, Jérôme ; Université de Liège - ULiège > HEC Liège : UER > UER Opérations : Computational Methods in Management ; Université de Liège - ULiège > HEC Liège Research > HEC Liège Research: Business Analytics & Supply Chain Mgmt
Language :
English
Title :
Robust optimization for the Segment Routing Traffic Engineering Problem
Publication date :
July 2024
Event name :
25th International Symposium on Mathematical Programming (ISMP2024)