SET: a Simple and Effective Technique to improve cost efficiency of VNF placement and chaining algorithms for network service provisioning - INRIA - Institut National de Recherche en Informatique et en Automatique Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

SET: a Simple and Effective Technique to improve cost efficiency of VNF placement and chaining algorithms for network service provisioning

Résumé

Network Functions Virtualization (NFV) is a promising solution to provide cost-efficient, scalable and rapid deployment of network services. It allows the implementation of fine-grained services as a chain of Virtual Network Functions (VNFs). In order to place the VNF chains in the network, several cost-efficient methods have been already proposed. However, a few works have considered order of VNFs to reduce the cost. In this paper, we propose a Simple and Effective Technique (SET), which can be easily combined with VNF placement methods to dramatically improve their cost efficiency by considering different possible orders for the VNFs in the chain. As a proof-of-concept, we combine the proposed technique with one of the recent cost-efficient VNF placement and chaining algorithms called CCVP. The results show that the combination can yield significantly better cost than CCVP operating solo.
Fichier principal
Vignette du fichier
HAL SET Netsoft_201829.pdf (832.74 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01879107 , version 1 (17-10-2018)

Identifiants

Citer

Shohreh Ahvar, Mohammad Mirzaei, Jeremie Leguay, Ehsan Ahvar, Ahmed Medhat, et al.. SET: a Simple and Effective Technique to improve cost efficiency of VNF placement and chaining algorithms for network service provisioning. NetSoft 2018: 4th IEEE Conference on Network Softwarization and Workshops, Jun 2018, Montreal, Canada. pp.293-297, ⟨10.1109/NETSOFT.2018.8459908⟩. ⟨hal-01879107⟩
123 Consultations
260 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More