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Designing End-to-end Resource Reservations in Predictable 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: 0000-0003-2670-3022
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. IS (Embedded Systems).ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1687-930X
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2017 (English)In: Real-time systems, ISSN 0922-6443, E-ISSN 1573-1383, Vol. 53, no 6, p. 916-956Article in journal (Refereed) Published
Abstract [en]

Contemporary distributed embedded systems in many domains have become highly complex due to ever-increasing demand on advanced computer controlled functionality. The resource reservation techniques can be effective in lowering the software complexity, ensuring predictability and allowing flexibility during the development and execution of these systems. This paper proposes a novel end-to-end resource reservation model for distributed embedded systems. In order to support the development of predictable systems using the proposed model, the paper provides a method to design resource reservations and an end-to-end timing analysis. The reservation design can be subjected to different optimization criteria with respect to runtime footprint, overhead or performance. The paper also presents and evaluates a case study to show the usability of the proposed model, reservation design method and end-to-end timing analysis. 

Place, publisher, year, edition, pages
2017. Vol. 53, no 6, p. 916-956
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-35506DOI: 10.1007/s11241-017-9283-6ISI: 000412536700004Scopus ID: 2-s2.0-85020515685OAI: oai:DiVA.org:mdh-35506DiVA, id: diva2:1104159
Projects
PRESS - Predictable Embedded Software SystemsFuture factories in the CloudPreView: Developing Predictable Vehicle Software on Multi-coreAvailable from: 2017-05-31 Created: 2017-05-31 Last updated: 2018-07-25Bibliographically approved

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Ashjaei, MohammadKhalilzad, NimaMubeen, SaadBehnam, MorisAlmeida, LuisNolte, Thomas

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