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Quality-Of-Control-Aware Scheduling of Communication in TSN-Based Fog Computing Platforms Using Constraint Programming

Authors Mohammadreza Barzegaran , Bahram Zarrin , Paul Pop

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Author Details

Mohammadreza Barzegaran
  • DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark
Bahram Zarrin
  • DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark
Paul Pop
  • DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark

Funding

  • Barzegaran, Mohammadreza: The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 764785, FORA - Fog Computing for Robotics and Industrial Automation.

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Mohammadreza Barzegaran, Bahram Zarrin, and Paul Pop. Quality-Of-Control-Aware Scheduling of Communication in TSN-Based Fog Computing Platforms Using Constraint Programming. In 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020). Open Access Series in Informatics (OASIcs), Volume 80, pp. 3:1-3:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/OASIcs.Fog-IoT.2020.3

Abstract

In this paper we are interested in real-time control applications that are implemented using Fog Computing Platforms consisting of interconnected heterogeneous Fog Nodes (FNs). Similar to previous research and ongoing standardization efforts, we assume that the communication between FNs is achieved via IEEE 802.1 Time Sensitive Networking (TSN). We model the control applications as a set of real-time streams, and we assume that the messages are transmitted using time-sensitive traffic that is scheduled using the Gate Control Lists (GCLs) in TSN. Given a network topology and a set of control applications, we are interested to synthesize the GCLs for messages such that the quality-of-control of applications is maximized and the deadlines of real-time messages are satisfied. We have proposed a Constraint Programming-based solution to this problem, and evaluated it on several test cases.

Subject Classification

ACM Subject Classification
  • Networks → Traffic engineering algorithms
  • Computer systems organization → Embedded software
  • Theory of computation → Constraint and logic programming
Keywords
  • TSN
  • Fog Computing
  • Constraint Programming
  • Quality of Control

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