https://www.mdu.se/

mdu.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
Diagnostics Framework for Time-Critical Control Systems in Cloud-Fog Automation
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Evolving technology in wireless telecommunication, such as 5G, provides opportunities to utilize wireless communication more in an industrial setting where reliability and predictability are of great concern. More capable Industrial Internet of Things devices (IIoT) are, indeed, a catalyst for Industry 4.0. Still, before the IIoT devices can be deemed capable enough, a method to evaluate the IIoT systems unobtrusively—so that the evaluation does not affect the performance of the systems—must be established. This thesis aims to answer how the performance of a distributed control system can be unobtrusively evaluated, and also determine what the state-of-the-art is in latency measurements in distributed control systems. To answer the question, a novel diagnostics method for time-critical control systems in cloud-fog automation is proposed and extensively evaluated on real-life testbeds that use 5G, WiFi 6, and Ethernet in an edge-computing topology with real control systems. The feasibility of the proposed method was verified by experiments conducted with a diagnostics framework prototype developed in this thesis. In the proposed diagnostics framework, the controller application is monitored by a computing probe based on an extended Berkeley Packet Filter program. Network communication between the controller and control target is evaluated with a multi-channel Ethernet probe and custom-made software that computes several metrics related to the performance of the distributed system. The data from the unobtrusive probes are sent to a time-series database that is used for further analysis and real-time visualization in a graphical interface created with Grafana. The proposed diagnostics method together with the developed prototype can be used as a research infrastructure for future evaluations of distributed control systems.

Place, publisher, year, edition, pages
2022. , p. 60
Keywords [en]
Cloud-fog automation, distributed control systems, network diagnostics, process diagnostics, process mining, Industrial Internet of Things, Industry 4.0, network probing, wireless telecommunication, 5G, WiFi 6, eBPF
National Category
Embedded Systems Robotics Communication Systems Telecommunications Control Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-58875OAI: oai:DiVA.org:mdh-58875DiVA, id: diva2:1666974
External cooperation
ABB Corporate Research Center
Subject / course
Computer Science
Presentation
2022-06-03, Alfa, Högskoleplan 1, Västerås, 08:30 (English)
Supervisors
Examiners
Available from: 2022-06-16 Created: 2022-06-09 Last updated: 2023-06-02Bibliographically approved

Open Access in DiVA

cfa_diagnostics_framework(2376 kB)48 downloads
File information
File name FULLTEXT01.pdfFile size 2376 kBChecksum SHA-512
d6ad9cc468c60717ef4f5abda4b3b1a1ca7ce02381edb85f039046b2757e0631e06655d4b6172a471a8510bd795cb305bb81f679ca6b0171434c78a8754c6b4d
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Deivard, JohannesJohansson, Valentin
By organisation
Embedded Systems
Embedded SystemsRoboticsCommunication SystemsTelecommunicationsControl Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 48 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 174 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