TY - JOUR
T1 - Stability Evaluation and Enhancement in Switched Networks
T2 - Detailed Delay Jitter Analysis Through Flow Interference
AU - Zhang, Xinyue
AU - Zhou, Xuan
AU - Li, Ershuai
AU - He, Feng
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2026
Y1 - 2026
N2 - The stability of flow transmission is critical in real-time switched networks with deterministic traffic, such as avionics Ethernet, industrial control systems, and Time-Sensitive Networking (TSN). Delay jitter, as a key indicator of stability, captures the variability in packet arrival times that can affect temporal predictability. Traditional methods relying solely on worst-case delay evaluations often neglect finer delay variations within each flow. To address this gap, we propose a novel approach based on delay jitter variance to more precisely capture detailed delay fluctuations. This is achieved through comprehensive interference analysis, identifying two primary contributors to delay variability: interference value and time interval. Together, these factors determine the magnitude of delay jitter and its distribution over time. The stability evaluation can then be refined from bounded delay jitter to detailed jitter variance, which also offers guidance for stability enhancement. Based on these insights, we develop a heuristic routing optimization algorithm to improve stability in large scale networks. Experimental results demonstrate significant improvements in network stability without sacrificing real-time performance.
AB - The stability of flow transmission is critical in real-time switched networks with deterministic traffic, such as avionics Ethernet, industrial control systems, and Time-Sensitive Networking (TSN). Delay jitter, as a key indicator of stability, captures the variability in packet arrival times that can affect temporal predictability. Traditional methods relying solely on worst-case delay evaluations often neglect finer delay variations within each flow. To address this gap, we propose a novel approach based on delay jitter variance to more precisely capture detailed delay fluctuations. This is achieved through comprehensive interference analysis, identifying two primary contributors to delay variability: interference value and time interval. Together, these factors determine the magnitude of delay jitter and its distribution over time. The stability evaluation can then be refined from bounded delay jitter to detailed jitter variance, which also offers guidance for stability enhancement. Based on these insights, we develop a heuristic routing optimization algorithm to improve stability in large scale networks. Experimental results demonstrate significant improvements in network stability without sacrificing real-time performance.
KW - Stability analysis
KW - interference analysis
KW - routing optimization
KW - switched networks
UR - https://www.scopus.com/pages/publications/105041118413
U2 - 10.1109/JIOT.2026.3698500
DO - 10.1109/JIOT.2026.3698500
M3 - 文章
AN - SCOPUS:105041118413
SN - 2327-4662
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
ER -