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Compositional Analysis for the Multi-Resource Server
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-7448-3381
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: 0000-0001-6132-7945
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-7586-0409
2015 (English)In: 20th IEEE International Conference on Emerging Technologies and Factory Automation ETFA'15, Luxembourg, Luxemburg: IEEE , 2015, Article number 7301431- p.Conference paper, Published paper (Refereed)
Abstract [en]

The Multi-Resource Server (MRS) technique has been proposed to enable predictable execution of memory intensive real-time applications on COTS multi-core platforms. It uses resource reservation approaches in the context of CPUbandwidth and memory-bus bandwidth reservations to bound the interference between the applications running on the same core as well as between the applications running on different cores. In this paper we present a complete composable local and global schedulability analysis for the Multi-Resource Server technique. Based on the proposed analysis,we further provide an experimental study that investigates the behaviour of the MRS and identifies the factors that contribute mostly on the overall system performance.

Place, publisher, year, edition, pages
Luxembourg, Luxemburg: IEEE , 2015. Article number 7301431- p.
Series
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, ISSN 1946-0740
Keyword [en]
Hierarchical scheduling, compositional analysis, CPU-bandwidth partitioning, memory-bandwidth partitioning.
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-29242DOI: 10.1109/ETFA.2015.7301431ISI: 000378564800032Scopus ID: 2-s2.0-84952939182OAI: oai:DiVA.org:mdh-29242DiVA: diva2:859213
Conference
20th IEEE International Conference on Emerging Technologies and Factory Automation ETFA'15, 8-11 Sep 2015, Luxembourg, Luxemburg
Projects
PPMsched - Performance Preserving Multicore Scheduling
Available from: 2015-10-06 Created: 2015-09-29 Last updated: 2016-07-28Bibliographically approved

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Inam, RafiaBehnam, MorisNolte, ThomasSjödin, Mikael

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