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

Barzegaran, Mohammadreza ; Cervin, Anton LU and Pop, Paul (2019) 2019 Workshop on Fog Computing and the IoT, IoT-Fog 2019 p.1-5
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,... (More)

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.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Fog platform, Quality-of-control, Scheduling, Simulated annealing
host publication
IoT-Fog 2019 - Proceedings of the 2019 Workshop on Fog Computing and the IoT
editor
Ramachandran, Gowri Sankar and Ortiz, Jorge
pages
5 pages
publisher
Association for Computing Machinery (ACM)
conference name
2019 Workshop on Fog Computing and the IoT, IoT-Fog 2019
conference location
Montreal, Canada
conference dates
2019-04-15
external identifiers
  • scopus:85066026788
ISBN
9781450366984
DOI
10.1145/3313150.3313217
project
ELLIIT LU P02: Co-Design of Robust and Secure Networked Embedded Control Systems
language
English
LU publication?
yes
id
a30c7b0f-9329-4070-a6c0-d1b66d92317a
date added to LUP
2019-06-13 09:35:23
date last changed
2020-12-29 01:57:06
@inproceedings{a30c7b0f-9329-4070-a6c0-d1b66d92317a,
  abstract     = {<p>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.</p>},
  author       = {Barzegaran, Mohammadreza and Cervin, Anton and Pop, Paul},
  booktitle    = {IoT-Fog 2019 - Proceedings of the 2019 Workshop on Fog Computing and the IoT},
  editor       = {Ramachandran, Gowri Sankar and Ortiz, Jorge},
  isbn         = {9781450366984},
  language     = {eng},
  month        = {04},
  pages        = {1--5},
  publisher    = {Association for Computing Machinery (ACM)},
  title        = {Towards quality-of-control-aware scheduling of industrial applications on fog computing platforms},
  url          = {http://dx.doi.org/10.1145/3313150.3313217},
  doi          = {10.1145/3313150.3313217},
  year         = {2019},
}