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SFC Provisioning over NFV Enabled Clouds

Authors :
Marouen Mechtri
Oussama Soualah
Chaima Ghribi
Djamal Zeghlache
Département Réseaux et Services Multimédia Mobiles (RS2M)
Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)
Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR)
Centre National de la Recherche Scientifique (CNRS)
Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR)
Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)
Source :
CLOUD, Proceedings CLOUD 2017 : IEEE 10th International Conference on Cloud Computing, CLOUD 2017 : IEEE 10th International Conference on Cloud Computing, CLOUD 2017 : IEEE 10th International Conference on Cloud Computing, Jun 2017, Honolulu, United States. pp.423-430, ⟨10.1109/CLOUD.2017.61⟩
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

International audience; This paper deals with virtualised Network Function Placement and chaining over cloud and NFV environments. We propose a polynomial-time algorithm for joint VNF chain placement that is based on a recursive optimization approach. The key idea is to benefit from the robustness of the recursion paradigm that was used to solve many optimization problems. We demonstrate the potential of our solution by comparing it to previous work. We conduct performance evaluation first through extensive simulations and then using a real cloud testbed. The obtained results show that our proposed algorithm achieves better performance in terms of resource usage, execution time, acceptance rate and revenue of the cloud provider

Details

Database :
OpenAIRE
Journal :
2017 IEEE 10th International Conference on Cloud Computing (CLOUD)
Accession number :
edsair.doi.dedup.....6e010d4f9ad1fe990e38d538026d83d6