Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evaluating Scalable Work Distribution Using IoT Devices in Fog Computing Scenarios
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). (Communication Systems and Networks)ORCID iD: 0000-0002-1797-1095
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).
2023 (English)In: 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), IEEE conference proceedings, 2023Conference paper, Published paper (Refereed)
Abstract [en]

This article explores a solution using fog computing and Internet of Things technologies to address some of the drawbacks with cloud computing. We show the potential in the combination of scalable distributed systems technologies, for enabling a distributed cluster using typical lightweight IoT devices. Answering research questions related to the expected overhead, as well as how work and chunk size affect the computational time and scalability of the system. All in order to evaluate the performance and potential of this technology for Industry 5.0 and future industrial IoT applications. Our results show the great potential of the approach, but we also identify necessary improvements that needs to be made in order to achieve performance superiority over the traditional cloud approaches and for the technology to truly proliferate.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2023.
Keywords [en]
Fog Computing, Internet of Things, Distributed systems, Scalability, Industry 5.0, Industrial IoT, Raspberry Pi, Docker, Kubernetes
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:miun:diva-50005DOI: 10.1109/WF-IoT58464.2023.10539565ISI: 001241286500173Scopus ID: 2-s2.0-85195429712ISBN: 979-8-3503-1161-7 (electronic)OAI: oai:DiVA.org:miun-50005DiVA, id: diva2:1816236
Conference
9th IEEE World Forum on Internet of Things (IoT), Aveiro, Portugal, 12–27 October, 2023
Available from: 2023-12-01 Created: 2023-12-01 Last updated: 2025-09-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Forsström, Stefan

Search in DiVA

By author/editor
Forsström, StefanLindqvist, Hans
By organisation
Department of Computer and Electrical Engineering (2023-)
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 183 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf