A cost model for green fog computing and networking

Abstract : 5G services and 4K will stress even more the future access/aggregation networks, where video contents have already become the main traffic contributor. The deployment in the convergent access of local micro data-centers (DCs) nodes is one promising approach to successfully manage this challenge. These nodes will be responsible for switching enormous amounts of traffic and simultaneously performing heavy CPU tasks (such as video or radio base band processing). Only a flexible management of these nodes based on NFV, SDN and data analytics will enable to meet these tasks. In this paper, we present a consistent and complete cost model collecting main trade-offs between energy savings and CPU processing suitable to be used in such a flexible management framework.
Type de document :
Communication dans un congrès
IEEE International Conference on Transparent Optical Networks (ICTON), Jul 2017, Gerona, Spain. 2017, 〈10.1109/ICTON.2017.8024764〉
Liste complète des métadonnées

https://hal-unice.archives-ouvertes.fr/hal-01592198
Contributeur : Ramon Aparicio-Pardo <>
Soumis le : vendredi 22 septembre 2017 - 18:14:05
Dernière modification le : samedi 23 septembre 2017 - 01:13:14

Identifiants

Collections

Citation

Ramon Aparicio-Pardo, Lucile Sassatelli. A cost model for green fog computing and networking. IEEE International Conference on Transparent Optical Networks (ICTON), Jul 2017, Gerona, Spain. 2017, 〈10.1109/ICTON.2017.8024764〉. 〈hal-01592198〉

Partager

Métriques

Consultations de la notice

19