Evaluation of Burst Failure Robustness of Control Systems in the Fog

Authors Nils Vreman, Claudio Mandrioli



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Author Details

Nils Vreman
  • Department of Automatic Control, Lund University, Sweden
Claudio Mandrioli
  • Department of Automatic Control, Lund University, Sweden

Acknowledgements

The authors would like to thank their supervisors Anton Cervin and Martina Maggio for the interesting insights given during the writing of this paper.

Cite AsGet BibTex

Nils Vreman and Claudio Mandrioli. Evaluation of Burst Failure Robustness of Control Systems in the Fog. In 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020). Open Access Series in Informatics (OASIcs), Volume 80, pp. 8:1-8:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/OASIcs.Fog-IoT.2020.8

Abstract

This paper investigates the robustness of control systems when a controller is run in a Fog environment. Control systems in the Fog are introduced and a discussion regarding relevant faults is presented. A preliminary investigation of the robustness properties of a MinSeg case study is presented and commented. The discussion is then used to outline future lines of research.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Sensor networks
Keywords
  • Networked Control Systems
  • Stability Analysis
  • Control over Internet
  • Fault Tolerance

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References

  1. M. Aazam, S. Zeadally, and K. A. Harras. Deploying fog computing in industrial internet of things and industry 4.0. IEEE Transactions on Industrial Informatics, 14(10):4674-4682, October 2018. URL: https://doi.org/10.1109/TII.2018.2855198.
  2. Karl Johan Åström and Richard M. Murray. Feedback Systems : An Introduction for Scientists and Engineers. Princeton University Press, 2008. Google Scholar
  3. A. Cervin, D. Henriksson, B. Lincoln, J. Eker, and K. E. Årzén. How does control timing affect performance? analysis and simulation of timing using jitterbug and truetime. IEEE Control Systems Magazine, 23(3):16-30, 2003. URL: https://doi.org/10.1109/MCS.2003.1200240.
  4. Tommaso Cucinotta, Mauro Marinoni, Alessandra Melani, Andrea Parri, and Carlo Vitucci. Temporal isolation among lte/5g network functions by real-time scheduling. In Proceedings of the 7th International Conference on Cloud Computing and Services Science, CLOSER 2017, page 368–375, Setubal, PRT, 2017. SCITEPRESS - Science and Technology Publications, Lda. URL: https://doi.org/10.5220/0006246703680375.
  5. F. Foukalas, P. Pop, F. Theoleyre, C. A. Boano, and C. Buratti. Dependable wireless industrial iot networks: Recent advances and open challenges. In 2019 IEEE European Test Symposium (ETS), pages 1-10, May 2019. URL: https://doi.org/10.1109/ETS.2019.8791551.
  6. B. Howard and L. Bushnell. Enhancing linear system theory curriculum with an inverted pendulum robot. In 2015 American Control Conference (ACC), pages 2185-2192, July 2015. URL: https://doi.org/10.1109/ACC.2015.7171057.
  7. Dimitrios Hristu-Varsakelis, William S. Levine, R. Alur, K.-E. Arzen, John Baillieul, and T. A. Henzinger. Handbook of Networked and Embedded Control Systems (Control Engineering). Birkhauser, 2005. Google Scholar
  8. S. Linsenmayer and F. Allgower. Stabilization of networked control systems with weakly hard real-time dropout description. In 2017 IEEE 56th Annual Conference on Decision and Control (CDC), pages 4765-4770, December 2017. URL: https://doi.org/10.1109/CDC.2017.8264364.
  9. Daniel Jun Xian Ng, Arvind Easwaran, and Sidharta Andalam. Contract-based hierarchical resilience framework for cyber-physical systems: Demo abstract. In Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS ’19, page 324–325, New York, NY, USA, 2019. Association for Computing Machinery. URL: https://doi.org/10.1145/3302509.3313323.
  10. M. Pohjola, S. Nethi, and R. Jantti. Wireless control of mobile robot squad with link failure. In 2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, pages 648-656, April 2008. URL: https://doi.org/10.1109/WIOPT.2008.4586154.
  11. Per Skarin, Karl-Erik Årzén, Johan Eker, and Maria Kihl. Cloud-assisted model predictive control. In 2019 IEEE International Conference on Edge Computing, pages 110-112. IEEE - Institute of Electrical and Electronics Engineers Inc., August 2019. URL: https://doi.org/10.1109/EDGE.2019.00033.
  12. W. Wang, D. Mosse, and A. V. Papadopoulos. Packet priority assignment for wireless control systems of multiple physical systems. In 2019 IEEE 22nd International Symposium on Real-Time Distributed Computing (ISORC), pages 143-150, May 2019. URL: https://doi.org/10.1109/ISORC.2019.00036.
  13. L. Zhang, L. Zhao, and L. Li. Sliding mode control for network control systems with packets dropout. In 2015 34th Chinese Control Conference (CCC), pages 6592-6596, July 2015. URL: https://doi.org/10.1109/ChiCC.2015.7260677.
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