@inproceedings{28ee314af4dc44bd8822ffb6778c8912,
title = "Towards quality-of-control-aware scheduling of industrial applications on fog computing platforms",
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.",
keywords = "Fog platform, Quality-of-control, Scheduling, Simulated annealing",
author = "Mohammadreza Barzegaran and Anton Cervin and Paul Pop",
year = "2019",
month = apr,
day = "15",
doi = "10.1145/3313150.3313217",
language = "English",
series = "IoT-Fog 2019 - Proceedings of the 2019 Workshop on Fog Computing and the IoT",
publisher = "Association for Computing Machinery",
editor = "Ramachandran, {Gowri Sankar} and Jorge Ortiz",
booktitle = "Proceedings of the 2019 Workshop on Fog Computing and the IoT",
address = "United States",
note = "2019 Workshop on Fog Computing and the Internet of Things, IoT-Fog 2019 ; Conference date: 15-04-2019 Through 18-04-2019",
}