Optimal and cost efficient algorithm for virtual CDN orchestration

Autor: Hossam Afifi, Hatem Ibn Khedher, Emad Abd-Elrahman, Michel Marot
Přispěvatelé: Département Réseaux et Services de Télécommunications (RST), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Computer and Systems Department (National Telecommunication Institute (NTI)), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Méthodes et modèles pour les réseaux (METHODES-SAMOVAR)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Proceedings LCN 2017 : 42nd IEEE Conference on Local Computer Networks
LCN 2017 : 42nd IEEE Conference on Local Computer Networks
LCN 2017 : 42nd IEEE Conference on Local Computer Networks, Oct 2017, Singapore, Singapore. pp.61-69, ⟨10.1109/LCN.2017.115⟩
LCN
Popis: International audience; Virtual Content Delivery Network (vCDN) orches- tration is necessary to optimize the use of resources and improve the performance of the overall SDN/NFV-based CDN function in terms of network operator cost reduction and high stream- ing quality. It requires intelligent and enticed joint SDN/NFV orchestration algorithm due to the evident huge amount of traffic to be delivered to end customers of the network. In this paper, a global vCDN architecture and an exact approach for finding the optimal path orchestration(s) and vCDN component instantiation(s) (OCPA) are proposed. Moreover, several scenarios are considered to quantify the OCPA behavior and to compare its efficiency in terms of caching and streaming cost, orchestration time, vCDN replication number, and other cost factors. Then, it is implemented and evaluated under different deployment flavors. Several scenarios are considered to study the algorithm's behavior and to quantify the impact of both network and system parameters
Databáze: OpenAIRE