The trade-offs between Fog Processing and Communications in latency-sensitive Vehicular Fog Computing

Autor: Francisco Ferreira de Mendonça, Zafeiris Kokkinogenis, Kelvin Lopes Dias, Pedro M. d’Orey, Rosaldo J.F. Rossetti
Přispěvatelé: Repositório Científico do Instituto Politécnico do Porto
Rok vydání: 2022
Předmět:
Zdroj: Pervasive and Mobile Computing. 84:101638
ISSN: 1574-1192
DOI: 10.1016/j.pmcj.2022.101638
Popis: In a vehicular fog computing paradigm, connected autonomous vehicles are envisioned as processing nodes (i.e. fog nodes) so that end-devices may offload processing tasks to them. As such, both local and distributed processing on fog nodes will depend heavily on wireless network conditions and the current traffic demand. In this work, we investigate the trade-offs on the operation of fog nodes under different vehicle densities and network conditions and formalize a Time Constrained One-Shot Open First Price Auction for resource allocation in vehicular fog computing. Through a large-scale simulation study, we assess important aspects of the performance of fog nodes in Vehicular Fog Computing. We show that current wireless network standards may dictate the limits of processing despite the availability of processing power of fog nodes. Our results indicate the existence of tradeoffs on the operation of fog nodes regarding message overhead and processing redundancy to achieve high task completion ratio. Finally, we evaluate the social welfare distribution of the task allocation achieved using the auction where higher message rates lead to higher costs.
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 3 Brasil (CAPES) 3 Finance Code 001 and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil - Research Productivity Fellowship - process number 12831/2020-0. This work was also partially supported by national funds of FCT/MCTES (Portuguese Foundation for Science and Technology), within the CISTER Research Unit (UIDP/UIDB/04234/2020).
Databáze: OpenAIRE