IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
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Design of CPS Architecture for Ultra Low Latency Control

초저지연 제어를 위한 CPS 아키텍처 설계

  • Received : 2019.09.09
  • Accepted : 2019.09.23
  • Published : 2019.10.31
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Abstract

Ultra-low latency control is one of the characteristics of 5G cellular network services, which means that the control loop is handled in milliseconds. To achieve this, it is necessary to identify time delay factors that occur in all components related to CPS control loop, including new 5G cellular network elements such as MEC, and to optimize CPS control loop in real time. In this paper, a novel CPS architecture for ultra-low latency control of CPS is designed. We first define the ultra-low latency characteristics of CPS and the CPS concept model, and then propose the design of the control loop performance monitor (CLPM) to manage the timing information of CPS control loop. Finally, a case study of MEC-based implementation of ultra-low latency CPS reviews the feasibility of future applications.

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References

  1. 3GPP TR 21.915, "Technical Specification Group Services and System Aspects; Release 15 Description; Summary of Rel-15 Work ltems (Release 15)," 2019.
  2. S. Kang, J. Jeon, I. Chun, "MEC Based Digital Twin Technology for Ultra Reliable Low Latency Communication," KIPS lnformation and Communications Magazine, Vol. 35, No. 11, pp. 40-45, 2018 (in Korean).
  3. J. J. Nielsen, R. Liu, P. Popovski, "Ultra-Reliable Low Latency Communication Using lnterface Diversity," Journal of IEEE Transactions on Communications, Vol. 66, No. 3, pp. 1322-1334, 2018. https://doi.org/10.1109/TCOMM.2017.2771478
  4. S. Kang, J. Lee, J. Jeon, I. Chun, "Multi-Access Edge Computing Based Simulation Offloading for 5G Mobile Application," Proceedings of the 17th Annual lnternational Conference on Mobile Systems, Applications, and Services (Mobisys), pp. 590-591, 2019.
  5. M. Syamkumar, P. Barford, R. Durairajan, "Deployment Characteristics of The Edge in Mobile Edge Computing," Proceedings of the Workshop on Mobile Edge Communications (MECOMM), pp. 43-49, 2018.
  6. G. Brown, "Ultra-Reliable Low-Latency 5G for Industrial Automation," Heavy Reading White Paper, Qualcomm, 2017.
  7. J. Aumiller, S. Brandt, S. Kato, N. Rath, "Supporting Low-Latency CPS Using GPUs and Direct I/O Schemes," Proceedings of International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), pp. 437-442, 2012.
  8. S. Kato, J. Aumiller, S. Brands, "Zero-copy I/O processing for low-Iatency GPU computing," Proceedings of International Conference of Cyber-Physical Systems (ICCPS), pp. 170-178, 2013.
  9. R. Jacob, L. Zhang, M. Zimmerling, J. Beutel, S. Chakraborty, L. Thiele, "TTW: A Time-Triggered Wireless Design for CPS," Proceedings of Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 865-868, 2018.
  10. G. Hampel, C. Li, J. Li, "5G Ultra-Reliable Low-Latency Communications in Factory Automation Leveraging Licensed and Unlicensed Bands," Journal of IEEE Communications Magazine, Vol. 57, pp. 117-123, 2019. https://doi.org/10.1109/MCOM.2019.1601220
  11. C. Vallati, A. Virdis, E. Mingozzi, G. Stea,."Mobile-Edge Computing Come Home Connecting Things in Future Smart Homes Using LTE Device-to-Device Communications," Consumer Electronics Magazine, Vol. 5, No. 4, pp. 77-83, 2016. https://doi.org/10.1109/MCE.2016.2590100
  12. A. M. Rahmani, T. N. Gia, B. Negash, A. Anzanpour, I. Azimi, M. Jiang, P. Liljeberg, "Exploiting Smart e-Health Gateway at the Edge of Healthcare Internet of Things: A Fog Computing Approach," Journal of Future Generation Computer Systems, Vol. 78, pp. 641-658, 2018. https://doi.org/10.1016/j.future.2017.02.014
  13. D. Grewe, M. Wagner, M. Arumaithurai, I. Psaras, D. Kutscher, "Information-Centric Mobile Edge Computing for Connected Vehicle Environments: Challenges and Research Directions," Proceedings of the Workshop on Mobile Edge Communications (MECOMM), pp. 7-12, 2017.
  14. L. Baresi, D. F. Mendonca, M. Garriga, "Empowering Low-Latency Applications Through a Serverless Edge Computing Architecture," Proceedings of European Conference on service-Oriented and Cloud Computing, pp. 196-210, 2017.
  15. S. K. Sharma, X. Wang, "Live Data Analytics With Collaborative Edge and Cloud Processing in Wireless IoT Networks," Journal of IEEE Access, Vol. 5, pp. 4621-4635, 2017. https://doi.org/10.1109/ACCESS.2017.2682640
  16. P. J. Braun, S. Pandi, R. S. Schmoll, F. H. Fitzek, "On the Study and Deployment of Mobile Edge Cloud for Tactile Internet Using a 5G Gaming Application," Proceedings of Consumer Communications & Networking Conference (CCNC). pp. 154-159, 2017.
  17. K. D. Starr, H. Petersen, M. Bauer, "Control Loop Performance Monitoring - ABB's Experience Over Two Decades," Proceedings of the 11th IFAC Symposium on Dynamics and Control of Process Systems, pp. 526-532, 2016.
  18. M. Bauer, A. Horch, L. Xie, M. Jelali, N. Thornhill, "The Current State of Control Loop Performance Monitoring - A Survey of Application in Industry," Journal of Process Control, EIsevier, Vol. 38, pp. 1-10, 2016. https://doi.org/10.1016/j.jprocont.2015.11.002
  19. R. Rajkumar, D. de Niz, M. Klein, "Cyber-PhysicaI Systems: Chapter 5. Software and Platform Issues in Feedback Control Systems," Addison-Wesley Professional, 2017.
  20. D. Nunes, J. S. Silva, F. Boavida, "A Practical Introduction to Human-in-the-Loop Cyber-PhysicaI Systems," JohnWiley & Sons, 2018.
  21. NIST SP 1500-201, "Framework for Cyber-PhysicaI Systems: Volume 1, Overview," 2017.
  22. NIST SP 1500-203, "Framework for Cyber-PhysicaI Systems: Volume 3, Timing Annex," 2017.
  23. S. Kang, I. Chun, "A Conceptual Model of Cyber-PhysicaI Systems for Analysing Control Loop Delay," Proceedings of IEMEK Symposium on Embedded Technology (ISET), pp. 81-82, 2019.
  24. Prometheus, Avaliable on : https://prometheus.io