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A Scheduling Architecture for Enforcing Quality of Service in Multi-Process Systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2612-4135
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: 0000-0002-5070-9312
2017 (English)In: International Conference on Emerging Technologies And Factory Automation ETFA'17, 2017Conference paper, Published paper (Refereed)
Abstract [en]

There is a massive deployment of multi-core CPUs. It requires a significant drive to consolidate multiple services while still achieving high performance on these off-the-shelf CPUs. Each function had earlier an own execution environment, which guaranteed a certain Quality of Service (QoS). Consolidating multiple services can give rise to shared resource congestions, resulting in lower and non-deterministic QoS. We describe a method to increase the overall system performance by assisting the operating system process scheduler to utilize shared resources more efficiently. Our method utilizes hardware- and system-level performance counters to profile the shared resource usage of each process. We also use a big-data approach to analyzing statistics from many nodes. The outcome of the analysis is a decision support model that is utilized by the process scheduler when allocating and scheduling process. Our scheduler can efficiently distribute processes compared to traditional CPU-load based process schedulers by considering the hardware capacity and previous scheduling- and allocation decisions.

Place, publisher, year, edition, pages
2017.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-37025OAI: oai:DiVA.org:mdh-37025DiVA: diva2:1158513
Conference
International Conference on Emerging Technologies And Factory Automation ETFA'17, 12 Aug 2017, Limassol, Cyprus
Projects
ITS-EASY Post Graduate School for Embedded Software and SystemsDPAC - Dependable Platforms for Autonomous systems and Control
Available from: 2017-11-20 Created: 2017-11-20 Last updated: 2017-11-20Bibliographically approved

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Marcus, JägemarBehnam, MorisEldh, Sigrid

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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More languages
Output format
  • html
  • text
  • asciidoc
  • rtf