Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Bandwidth Adaptation in Hierarchical Scheduling Using Fuzzy Controllers
KTH, School of Information and Communication Technology (ICT), Electronics and Embedded Systems. Mälardalens högskola, Sweden.ORCID iD: 0000-0003-2670-3022
Mälardalens högskola, Akademin för innovation, design och teknik.ORCID iD: 0000-0002-1687-930X
Mälardalens högskola, Akademin för innovation, design och teknik.
Mälardalens högskola, Akademin för innovation, design och teknik.ORCID iD: 0000-0001-6132-7945
2012 (English)In: 7th IEEE International Symposium on Industrial Embedded Systems, SIES 2012 - Conference Proceedings, IEEE Press, 2012, 148-157 p.Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

In our previous work, we have introduced an adaptive hierarchical scheduling framework as a solution for composing dynamic real-time systems, i.e., systems where the CPU demand of their tasks are subjected to unknown and potentially drastic changes during run-time. The framework uses the PI controller which periodically adapts the system to the current load situation. The conventional PI controller despite simplicity and low CPU overhead, provides acceptable performance. However, increasing the pressure on the controller e.g, with an application consisting of multiple tasks with drastically oscillating execution times, degrades the performance of the PI controller. Therefore, in this paper we modify the structure of our adaptive framework by replacing the PI controller with a fuzzy controller to achieve better performance. Furthermore, we conduct a simulation based case study in which we compose dynamic tasks such as video decoder tasks with a set of static tasks into a single system, and we show that the new fuzzy controller outperforms our previous PI controller.

Place, publisher, year, edition, pages
IEEE Press, 2012. 148-157 p.
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:kth:diva-179018DOI: 10.1109/SIES.2012.6356580Scopus ID: 2-s2.0-84871577601ISBN: 978-1-4673-2684-1 (print)OAI: oai:DiVA.org:kth-179018DiVA: diva2:878749
Conference
7th IEEE International Symposium on Industrial Embedded Systems, SIES 2012; Karlsruhe; 20 June 2012 through 22 June 2012
Note

QC 20151210

Available from: 2012-12-20 Created: 2015-12-09 Last updated: 2017-04-07Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Khalilzad, NimaBehnam, MorisNolte, Thomas

Search in DiVA

By author/editor
Khalilzad, NimaBehnam, MorisNolte, Thomas
By organisation
Electronics and Embedded Systems
Embedded Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 11 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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