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End-to-End Delay Performance for Mobile Cyber-Physical Systems with Edge Computing

Published:04 April 2023Publication History

ABSTRACT

In this letter, we investigate the end-to-end (E2E) delay performance for mobile cyber-physical systems (M-CPS) with edge computing. The traditional delay analysis is based on flow conservation law, whereas the flow is not conserved in the M-CPS with edge computing due to the existence of edge computing node and remote controller. To tackle this problem, we introduce two scaling factors to ensure the flow conservation, then the E2E delay bound of M-CPS with edge computing is derived via stochastic network calculus. In addition, to cater for the delay demand for M-CPS stability, the stable-aware delay bound is obtained. Numerical results show the gap between the analytic bound and simulation can be narrower as the average signal-to-noise (SNR) growing.

References

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      ICNCC '22: Proceedings of the 2022 11th International Conference on Networks, Communication and Computing
      December 2022
      365 pages
      ISBN:9781450398039
      DOI:10.1145/3579895

      Copyright © 2022 ACM

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      New York, NY, United States

      Publication History

      • Published: 4 April 2023

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