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Experiments on Approaches of Virtualization for Industrial Internet of Things applications
ABB AB, Sweden.
ABB AB, Sweden.
ABB AB, Sweden.
RISE - Research Institutes of Sweden (2017-2019), ICT, SICS.ORCID iD: 0000-0002-6657-2496
2019 (English)In: 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2019, p. 1226-1229Conference paper, Published paper (Refereed)
Abstract [en]

New technologies that comes with recent trends like Internet of Things, Cloud and 5G are promoting new platforms and communication solutions. These trends have also started to impact traditional industrial automation systems, since end customers are starting to expect new services, such as, business intelligence and diagnostic information anywhere at any time. Moreover, the cloud providers lease their infrastructure to be used for deployment of applications using virtualization. Therefore, this paper aims at exploring the possibilities of different virtualization platforms offered by various cloud providers and benchmark the technologies with platforms frequently used within industry. The platform performance was evaluated by conducting experiments with an industrial application, focusing on typical industrial aspect such as latency, jitter and availability. In addition to more industrial focused metrics, the findings in comparison with other related experiments indicate that specific application requirements have an effect on performance. Hence, application specific evaluations may be necessary before taking any decision on where an industrial application may be deployed.

Place, publisher, year, edition, pages
2019. p. 1226-1229
Keywords [en]
cloud computing, competitive intelligence, Internet of Things, production engineering computing, virtualisation, communication solutions, end customers, business intelligence, diagnostic information, cloud providers, virtualization platforms, application specific evaluations, Industrial Internet of things applications, industrial automation systems, Servers, Microsoft Windows, Virtual machine monitors, Virtualization, Containers, Linux
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-42592DOI: 10.1109/ETFA.2019.8868971Scopus ID: 2-s2.0-85074195251OAI: oai:DiVA.org:ri-42592DiVA, id: diva2:1384747
Conference
2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Available from: 2020-01-10 Created: 2020-01-10 Last updated: 2020-02-04Bibliographically approved

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Ericsson, Niclas

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CiteExportLink to record
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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