Performance evaluation of the VNT reconfiguration algorithm based on traffic prediction
08473940.pdf (682,0Kb) (Restricted access) Request copy
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
European Commission's projectMETRO-HAUL - METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency (EC-H2020-761727)
In a previous work, the Virtual Network Topology Reconfiguration problem based on Traffic Prediction (VENTURE) was proposed as a means of efficiently adapting core virtual network topology (VNT) to the near-future traffic. Although the benefits obtained by the VENTURE algorithm compared to using a purely reactive VNT reconfiguration approach seems to be clear, margin for improvement still remain and alternative solving methods for the VENTURE problem need to be considered. In this paper, the original VENTURE algorithm is compared against two state-of-the-art metaheuristics for combinatorial network optimization. The two metaheuristics are first presented and then adapted for the VENTURE problem. Finally, the performance of the VENTURE algorithm and the two proposed metaheuristics is numerically evaluated using an exact solving method as reference. © 2018 IEEE.
CitationMorales, F. [et al.]. Performance evaluation of the VNT reconfiguration algorithm based on traffic prediction. A: International Conference on Transparent Optical Networks. "ICTON 2018: 20th Anniversary International Conference on Transparent Optical Networks: 1-5 July 2018, Bucharest, Romania". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-4.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder