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Evaluating industrial applicability of virtualization on a distributed multicore platform
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5626-0587
ABB Corporate Research Center, Västerås, Sweden .
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2383-7981
2014 (English)In: 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014, 2014, Article number 7005062- p.Conference paper, Published paper (Refereed)
Abstract [en]

Adoption of virtualization technology has been limited in industrial automation due to unavailability of mature solutions, and strict timing requirements of control systems. However, current advancement in Virtual Monitoring Machine, multicore technology, virtualization extension and network virtualization has led to increased interest of virtualization in industrial automation. So far, many related research are focused on maximizing CPU and I/O utilization, and optimization applicable to soft realtime systems (i.e., outside industrial automation domain), e.g., multimedia applications. In this research, we make use of QoS for CPU, memory and network bandwidth in pursuit of high speed and predictability on a distributed multicore platform which is constructed entirely from open source products. We evaluate the platform for latency and jitter, network throughput and CPU computation load. Finally, we analyze the result for applicability in industrial control domain. 

Place, publisher, year, edition, pages
2014. Article number 7005062- p.
Keyword [en]
Automation, Distributed computer systems, Factory automation, Industrial plants, Virtual reality, Industrial automation, Multi-core platforms, Multicore technology, Multimedia applications, Network virtualization, Open source products, Soft real-time systems, Virtualization technologies, Industrial research
National Category
Computer Science Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-27934DOI: 10.1109/ETFA.2014.7005062ISI: 000360999100013Scopus ID: 2-s2.0-84946689459ISBN: 9781479948468 (print)OAI: oai:DiVA.org:mdh-27934DiVA: diva2:809155
Conference
19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014, 16 September 2014 through 19 September 2014
Available from: 2015-04-30 Created: 2015-04-30 Last updated: 2016-01-18Bibliographically approved

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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