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.
(Less)
- author
- Barzegaran, Mohammadreza
; Cervin, Anton
LU
and Pop, Paul
- organization
- publishing date
- 2019-04-15
- 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
- 2022-05-11 18:20:09
@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}},
keywords = {{Fog platform; Quality-of-control; Scheduling; Simulated annealing}},
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}},
}