Communication Dans Un Congrès Année : 2020

A Stochastic Theoretical Game Approach for Resource Allocation in Vehicular Fog Computing

Résumé

Mobile devices have usually limited capabilities in terms of computation power, battery lifetime, storage size and available bandwidth. Thus, to address these limitations and to continue supporting the ever-increasing application requirements, service providers use powerful servers in order to offer services through the cloud. However, due to latency and QoS limitations, cloud computing still does not solve all the problems of newly emerging mobile applications demands. Thus, a more recent development is to push the storage and processing capabilities to the edge of access network closer to end users, which introduce the new concept of fog computing. Fog computing is a decentralized computation framework which essentially extends cloud computing resources and services to the edge of access network [2].

Fichier principal
Vignette du fichier
HMB2020.pdf (198.47 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-03013938 , version 1 (14-02-2022)

Licence

Identifiants

Citer

Habtamu Mohammed Birhanie, Sidi-Mohammed Senouci, Mohamed-Ayoub Messous, Amel Arfaoui, Ali Kies. A Stochastic Theoretical Game Approach for Resource Allocation in Vehicular Fog Computing. 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), Jan 2020, Las Vegas, United States. pp.1-2, ⟨10.1109/CCNC46108.2020.9045224⟩. ⟨hal-03013938⟩
90 Consultations
206 Téléchargements

Altmetric

Partager

  • More