Optimizing the PTP Control Loop

As accurate and stable time transfer continues to increase its footprint across many market verticals, more so over convergence infrastructures such as data centers, applications such as 5G workloads, accurate packet scheduling, distributed databases, and synchronized collective communications may coexist. One of the key considerations is to further improve the overall performance of the Precision Time Protocol (PTP) by optimizing the control loop performance. This paper proposes a solution to assess optimal Proportional-Integral (PI) controller values using a Bayesian Optimization based method. We show a relative improvement of 12% in timing error, compared to the default parameters baseline.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/ispcs63021.2024.10747730
Primary Topic
Iterative Learning Control Systems
Type
article
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article

Optimizing the PTP Control Loop

Gil Shabat, Hanan Shteingart, Thomas Kernen, Maciek Machnikowski
Iterative Learning Control Systems
article

Optimizing the PTP Control Loop

Gil Shabat, Hanan Shteingart, Thomas Kernen, Maciek Machnikowski
article en

Abstract

As accurate and stable time transfer continues to increase its footprint across many market verticals, more so over convergence infrastructures such as data centers, applications such as 5G workloads, accurate packet scheduling, distributed databases, and synchronized collective communications may coexist. One of the key considerations is to further improve the overall performance of the Precision Time Protocol (PTP) by optimizing the control loop performance. This paper proposes a solution to assess optimal Proportional-Integral (PI) controller values using a Bayesian Optimization based method. We show a relative improvement of 12% in timing error, compared to the default parameters baseline.

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Iterative Learning Control Systems
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Optimizing the PTP Control Loop — Gil Shabat, Hanan Shteingart, et al. · (2024) | TGRS Research Map | TGRS