Evaluation of Fog Computing Using Serverless in IoT Systems
Abstract
This paper aims to evaluate the serverless computing model using edge/fog devices. The serverless model can facilitate the provision of IoT services as it allows code execution without the need for infrastructure management. A case study of image processing is being implemented, using a Raspberry Pi 3 to run the OpenFaaS serverless environment.References
Udoh, I. S e Kotonya, G. (2017) “Developing IoT applications: challenges and frameworks.” Iet Cyber-Phys. Syst., Theory Appl. v. 3, n. 2, p. 65-72.
Hassan, B. H et al. (2021) "Survey on serverless computing." Journal of Cloud Computing 10 : p. 1-29.
Agudelo-Sanabria, S. D e Jindhal, A. (2021) “The ifs and Buts of the Approaches for IoT Applications” arXiv preprint arXiv:2101.09796.
Hazra, A et al (2023) “Fog computing for next-generation Internet of Things: Fundamental state-of-the-art and research challenges”. Computer Science Review, 48, 100549.
Ellis, A. (2021) “serverless for everyone else”. Disponivel em [link]
Lee Lawlor et al (2011) “Thingspeak” disponível em [link]
Huamán, A (2023) “Opencv:Cascade Classifier”. Disponível em [link]
Hassan, B. H et al. (2021) "Survey on serverless computing." Journal of Cloud Computing 10 : p. 1-29.
Agudelo-Sanabria, S. D e Jindhal, A. (2021) “The ifs and Buts of the Approaches for IoT Applications” arXiv preprint arXiv:2101.09796.
Hazra, A et al (2023) “Fog computing for next-generation Internet of Things: Fundamental state-of-the-art and research challenges”. Computer Science Review, 48, 100549.
Ellis, A. (2021) “serverless for everyone else”. Disponivel em [link]
Lee Lawlor et al (2011) “Thingspeak” disponível em [link]
Huamán, A (2023) “Opencv:Cascade Classifier”. Disponível em [link]
Published
2025-04-23
How to Cite
CZERNIEJ, Rafael Pascoali; OYAMADA, Marcio Seiji.
Evaluation of Fog Computing Using Serverless in IoT Systems. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM SOUTHERN BRAZIL (ERAD-RS), 25. , 2025, Foz do Iguaçu/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 33-36.
ISSN 2595-4164.
DOI: https://doi.org/10.5753/eradrs.2025.6835.
