uu.seUppsala universitets publikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Worst-Case Cause-Effect Reaction Latency in Systems with Non-Blocking Communication
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datorteknik.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datorteknik.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datorteknik.
2019 (engelsk)Inngår i: Design, Automation & Test in Europe Conference & Exhibition: DATE 2019, IEEE, 2019, s. 1625-1630Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In real-time embedded systems, a system functionality is often implemented using a data-flow chain over a set of communicating tasks. A critical non-functional requirement in such systems is to restrict the amount of time, i.e. cause-effect latency, for an input to impact its corresponding output. The problem of estimating the worst-case cause-effect latency is well-studied in the context of blocking inter-task communication. Recent research results show that non-blocking communication preserving functional semantics is critical for the model-based design of dynamically updatable systems. In this paper, we study the worst-case cause-effect reaction latency estimation problem in the context of non-blocking inter-task communication. We present a computationally efficient algorithm that tightly over-approximates the exact worst-case reaction latency in cause-effect data-flow chains.

sted, utgiver, år, opplag, sider
IEEE, 2019. s. 1625-1630
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-389931DOI: 10.23919/DATE.2019.8715264ISI: 000470666100301ISBN: 978-3-9819263-2-3 (digital)OAI: oai:DiVA.org:uu-389931DiVA, id: diva2:1340006
Konferanse
DATE 2019, March 25–29, Florence, Italy
Tilgjengelig fra: 2019-08-01 Laget: 2019-08-01 Sist oppdatert: 2019-10-07bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekst

Personposter BETA

Abdullah, JakariaDai, GaoyangWang, Yi

Søk i DiVA

Av forfatter/redaktør
Abdullah, JakariaDai, GaoyangWang, Yi
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 232 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf