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
SAMi: Self-aware migration approach for congestion reduction in NoC-based MCSoC
University of Louisiana at Lafayette, Lafayette, United States .
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Old Dominion University, Norfolk, United States .
University of Tehran, Tehran, Iran .
2016 (English)In: International System on Chip Conference, IEEE Computer Society, 2016, p. 145-150Conference paper, Published paper (Refereed)
Abstract [en]

Many-Core System-on-Chips (MCSoCs) require efficient task migration approach in order to reach system performance objectives such as load balancing, communication optimization, fault tolerance, and temperature control. In this paper an efficient self-aware migration approach is introduced for NoC-based MCSoCs using a centralized feedback controller in order to control the congestion over the system. The proposed approach is divided into four main steps: predicting behavior of the application, defining reliable triggers to initiate task migration, introducing cost comparison functions, and presenting a streamlined controlling mechanism to migrate tasks. The experimental results affirm that the proposed self-aware migration approach can help achieving significant throughput and system utilization while efficiently controlling system congestion.

Place, publisher, year, edition, pages
IEEE Computer Society, 2016. p. 145-150
Keywords [en]
Congestion, Feedback Controller, MCSoC, NoC, Performance, Task Migration, Controllers, Distributed computer systems, Fault tolerance, Feedback, Feedback control, Functions, Programmable logic controllers, Semiconductor device manufacture, System-on-chip, Traffic congestion, Network-on-chip
National Category
Embedded Systems Control Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-35527DOI: 10.1109/SOCC.2016.7905455ISI: 000403576000026Scopus ID: 2-s2.0-85019114536ISBN: 9781509013661 (print)OAI: oai:DiVA.org:mdh-35527DiVA, id: diva2:1104492
Conference
29th IEEE International System on Chip Conference, SOCC 2016; Seattle; United States; 6-9 September 2016.
Available from: 2017-06-01 Created: 2017-06-01 Last updated: 2019-06-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Daneshtalab, Masoud
By organisation
Embedded Systems
Embedded SystemsControl Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 62 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