Towards quality-of-control-aware scheduling of industrial applications on fog computing platforms

Mohammadreza Barzegaran, Anton Cervin, Paul Pop

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Abstract

In this paper we address Industrial IoT control applications which are safety-critical and real-time, and which have very low latency and jitter requirements. These control applications are virtualized as software tasks running on a Fog Computing Platform that brings computing and deterministic communication closer to the edge of the network, where the industrial "things" are located. Due to the demanding dependability and timing requirements, we consider that the tasks are scheduled with a static-cyclic scheduling policy. We are interested to determine the mapping of the tasks and a schedule table of their activation, such that we maximize the quality-of-control for the control tasks and meet the timing requirements for all tasks, including non-critical real-time tasks. We have proposed a Simulated Annealing-based metaheuristic to solve this problem, and we have evaluated the solution on several test cases.

Original languageEnglish
Title of host publicationProceedings of the 2019 Workshop on Fog Computing and the IoT
EditorsGowri Sankar Ramachandran, Jorge Ortiz
Number of pages5
PublisherAssociation for Computing Machinery
Publication date15 Apr 2019
ISBN (Electronic)9781450366984
DOIs
Publication statusPublished - 15 Apr 2019
Event2019 Workshop on Fog Computing and the Internet of Things - Montreal, Canada
Duration: 15 Apr 201918 Apr 2019

Conference

Conference2019 Workshop on Fog Computing and the Internet of Things
Country/TerritoryCanada
CityMontreal
Period15/04/201918/04/2019
SponsorAssociation for Computing Machinery
SeriesIoT-Fog 2019 - Proceedings of the 2019 Workshop on Fog Computing and the IoT

Keywords

  • Fog platform
  • Quality-of-control
  • Scheduling
  • Simulated annealing

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