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End-to-end Resource Reservations in Distributed Embedded Systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3469-1834
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1687-930X
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-9544-3028
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2016 (English)In: Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016, 2016, 1-11 p., 7579921Conference paper, Published paper (Refereed)
Abstract [en]

The resource reservation techniques provide effective means to lower the software complexity, ensure predictability and allow flexibility during the development and execution of complex distributed embedded systems. In this paper we propose a new end-to-end resource reservation model for distributed embedded systems. The model is comprehensive in such a way that it supports end-to-end resource reservations on distributed transactions with various activation patterns that are commonly used in industrial control systems. The model allows resource reservations on processors and real-time network protocols. We also present timing analysis for the distributed embedded systems that are developed using the proposed model. The timing analysis computes the end-to-end response times as well as delays such as data age and reaction delays. The presented analysis also supports real-time networks that can autonomously initiate transmissions. Such networks are not supported by the existing analyses. We also include a case study to show the usability of the model and end-to-end timing analysis with resource reservations.

Place, publisher, year, edition, pages
2016. 1-11 p., 7579921
Keyword [en]
End-to-end reservation, switched Ethernet, real-time distributed systems, schedulability analysis, end-to-end delay analysis
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-32853DOI: 0.1109/RTCSA.2016.10ISI: 000387085600001Scopus ID: 2-s2.0-84994545361OAI: oai:DiVA.org:mdh-32853DiVA: diva2:1009220
Conference
The 22th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications RTCSA'16, 17 Aug 2016, Daegu, South Korea
Projects
PRESS - Predictable Embedded Software Systems
Available from: 2016-09-30 Created: 2016-08-24 Last updated: 2016-12-02Bibliographically approved

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Ashjaei, MohammadMubeen, SaadBehnam, MorisAlmeida, LuisNolte, Thomas
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CiteExportLink to record
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Citation style
  • apa
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