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Improving Worst-Case Delay Analysis for Traffic of Additional Stream Reservation Class in Ethernet-AVB Network
Lin Zhao1, Feng He2, Ershuai Li3
1School of Electronic and Information Engineering, Beihang University, Beijing 100191, China. zhaolin@buaa.edu.cn.
Sensors (Basel, Switzerland)
|November 15, 2018
Summary
This study introduces a new traffic class for Ethernet Audio Video Bridging (AVB) networks to handle increasing Electronic Control Units (ECUs). It determines the worst-case delay, improving timing constraint fulfillment for in-vehicle networking.
Area of Science:
- Computer Engineering
- Network Engineering
- Automotive Systems
Background:
- Increasing Electronic Control Units (ECUs) in vehicles necessitate advanced networking solutions.
- Existing two Stream Reservation (SR) traffic classes in Ethernet Audio Video Bridging (AVB) may be insufficient for future vehicle functions.
- Ensuring timing constraints for diverse traffic types in automotive Ethernet is challenging.
Purpose of the Study:
- To determine the worst-case delay for an additional SR traffic class within the Credit-Based Shaper (CBS) algorithm.
- To analyze the impact of CBS on different priority flows, focusing on credit depletion scenarios.
- To propose models and methods for calculating worst-case queuing and end-to-end delays in Ethernet-AVB.
Main Methods:
- Analysis of Credit-Based Shaper (CBS) impact on priority flows and credit evolution trends.
- Development of two worst-case delay models for an additional SR traffic class.
- Application of network calculus and simulation for worst-case end-to-end delay determination.
- Proposal of an approach for worst-case queuing delay calculation.
Main Results:
- Established worst-case delay models for an additional SR traffic class under CBS.
- Proposed CBS configuration suggestions for optimized delay performance.
- Calculated worst-case queuing and end-to-end delays using network calculus and simulation.
- Demonstrated tighter delay bounds compared to existing models.
Conclusions:
- The proposed models provide more accurate worst-case delay estimations for Ethernet-AVB.
- The findings support the enhancement of Ethernet-AVB for robust in-vehicle networking.
- The study contributes to meeting the stringent timing requirements of future automotive systems.
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