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
Container-Based Load Balancing and Monitoring Approach in Fog Computing System
Islamic Azad University, Iran.
National Yunlin University of Science and Technology Douliou, Taiwan.
RISE Research Institutes of Sweden, Digital Systems.ORCID iD: 0000-0002-4473-7763
Islamic Azad University, Iran.
2022 (English)In: MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2022, p. 1159-1164Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things has become a fast-growing area and has attracted considerable attention from the research communities. To provide satisfactory performance and efficiency in smart applications, it is inevitable to apply proper and efficient load balancing mechanisms. This paper presents a container-based load balancing and monitoring approach in fog-cloud environments. The presented architecture is composed of application services, message queuing system and online monitoring tools to address fault-detection, reliability, higher efficiency and scalability that are essential requirements of smart applications. In addition, an implementation of the proposed approach by using well-known technologies is presented, and the system is evaluated. Results indicate that using this model satisfies the requirements and can be considered as a practical solution to fog computing applications. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022. p. 1159-1164
Keywords [en]
Container-Based infrastructure, Fog computing, Load Balancing, Message Queuing System, Monitoring, Containers, Efficiency, Fault detection, Fog, Queueing networks, Computing system, Load monitoring, Load-Balancing, Monitoring approach, Performance, Queuing systems, Research communities, Smart applications
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-60088DOI: 10.1109/MELECON53508.2022.9843096Scopus ID: 2-s2.0-85136402239ISBN: 9781665442800 (electronic)OAI: oai:DiVA.org:ri-60088DiVA, id: diva2:1697655
Conference
21st IEEE Mediterranean Electrotechnical Conference, MELECON 2022, 14 June 2022 through 16 June 2022
Note

Funding details: 101007273, 876038; Funding details: Horizon 2020 Framework Programme, H2020; Funding text 1: This work was partially supported by EU KDT project InSecTT and DAIS that has received funding from the KDT Joint Undertaking (JU) under grant agreement No.876038 and No.101007273. InSecTT (www.insectt.eu) has received funding from the KDT Joint Undertaking (JU) under grant agreement No 876038. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Austria, Sweden, Spain, Italy, France, Portugal, Ireland, Finland, Slovenia, Poland, Netherlands, Turkey. The document reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.

Available from: 2022-09-21 Created: 2022-09-21 Last updated: 2022-09-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Balador, Ali

Search in DiVA

By author/editor
Balador, Ali
By organisation
Digital Systems
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 22 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