A Framework for Robust Traffic Engineering Using Evolutionary Computation

Abstract : In current network infrastructures, several management tasks often require significant human intervention and can be of high complexity, having to consider several inputs to attain efficient configurations. In this perspective, this work presents an optimization framework able to automatically provide network administrators with efficient and robust routing configurations. The proposed optimization tool resorts to techniques from the field of Evolutionary Computation, where Evolutionary Algorithms (EAs) are used as optimization engines to solve the envisaged NP-hard problems. The devised methods focus on versatile and resilient aware Traffic Engineering (TE) approaches, which are integrated into an autonomous optimization framework able to assist network administrators. Some examples of the supported TE optimization methods are presented, including preventive, reactive and multi-topology solutions, taking advantage of the EAs optimization capabilities.
Type de document :
Communication dans un congrès
Guillaume Doyen; Martin Waldburger; Pavel Čeleda; Anna Sperotto; Burkhard Stiller. 7th International Conference on Autonomous Infrastructure (AIMS), Jun 2013, Barcelona, Spain. Springer, Lecture Notes in Computer Science, LNCS-7943, pp.1-12, 2013, Emerging Management Mechanisms for the Future Internet. 〈10.1007/978-3-642-38998-6_1〉
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01489965
Contributeur : Hal Ifip <>
Soumis le : mardi 14 mars 2017 - 17:06:19
Dernière modification le : mardi 14 mars 2017 - 17:12:29
Document(s) archivé(s) le : jeudi 15 juin 2017 - 15:09:50

Fichier

978-3-642-38998-6_1_Chapter.pd...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Vitor Pereira, Miguel Rocha, Paulo Cortez, Miguel Rio, Pedro Sousa. A Framework for Robust Traffic Engineering Using Evolutionary Computation. Guillaume Doyen; Martin Waldburger; Pavel Čeleda; Anna Sperotto; Burkhard Stiller. 7th International Conference on Autonomous Infrastructure (AIMS), Jun 2013, Barcelona, Spain. Springer, Lecture Notes in Computer Science, LNCS-7943, pp.1-12, 2013, Emerging Management Mechanisms for the Future Internet. 〈10.1007/978-3-642-38998-6_1〉. 〈hal-01489965〉

Partager

Métriques

Consultations de la notice

70

Téléchargements de fichiers

27