Impact Analysis of Flow Shaping in Ethernet-AVB/TSN and AFDX from Network Calculus and Simulation Perspective

He, Feng; Zhao, Lin; Li, Ershuai

doi:10.3390/s17051181

Cited by 30 publications

(10 citation statements)

References 31 publications

(54 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, additional ULL mechanisms are recommended, in addition to the traffic shaping, to satisfy strict application requirements. Complementarily, Thiele et al [155]- [157] have conducted a formal timing analysis and worst-case latency analysis of the different shapers for an automotive Ethernet topology, while an avionics context has been considered in [158]. Moreover, general latency and backlog bounds have recently been derived in [159]- [165].…”

Section: Flow Controlmentioning

confidence: 99%

Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research

Nasrallah

Thyagaturu

Alharbi

et al. 2019

IEEE Commun. Surv. Tutorials

483

219

View full text Add to dashboard Cite

Many network applications, e.g., industrial control, demand Ultra-Low Latency (ULL). However, traditional packet networks can only reduce the end-to-end latencies to the order of tens of milliseconds. The IEEE 802.1 Time Sensitive Networking (TSN) standard and related research studies have sought to provide link layer support for ULL networking, while the emerging IETF Deterministic Networking (DetNet) standards seek to provide the complementary network layer ULL support. This article provides an up-to-date comprehensive survey of the IEEE TSN and IETF DetNet standards and the related research studies. The survey of these standards and research studies is organized according to the main categories of flow concept, flow synchronization, flow management, flow control, and flow integrity. ULL networking mechanisms play a critical role in the emerging fifth generation (5G) network access chain from wireless devices via access, backhaul, and core networks. We survey the studies that specifically target the support of ULL in 5G networks, with the main categories of fronthaul, backhaul, and network management. Throughout, we identify the pitfalls and limitations of the existing standards and research studies. This survey can thus serve as a basis for the development of standards enhancements and future ULL research studies that address the identified pitfalls and limitations.

show abstract

Section: Flow Controlmentioning

confidence: 99%

Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research

Nasrallah

Thyagaturu

Alharbi

et al. 2019

IEEE Commun. Surv. Tutorials

483

219

View full text Add to dashboard Cite

show abstract

“…In terms of research on schedulability and scheduling algorithms, the network calculus theory is used to calculate the maximum end-to-end delay of SR traffic class for Credit-based Shaper (CBS) defined in IEEE 802.1Qav [28][29][30][31]. Luxi Zhao et al also used the network calculus to test the schedulability of the TSN system [32,33], aiming at the worst-case delay (WCD) of the critical traffic under different overlapping conditions of transmission window defined in IEEE 802.1Qbv and then proposed improvements [34].…”

Section: Related Workmentioning

confidence: 99%

Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System

Luo

Wang

Yang

et al. 2022

Sensors

View full text Add to dashboard Cite

Advances in automotive technology require networks to support a variety of communication requirements, such as reliability, real-time performance, low jitter, and strict delay limits. Time-Sensitive Network (TSN) is a keyframe transmission delay-guaranteed solution based on the IEEE 802 architecture of the automotive Ethernet. However, most of the existing studies on automotive TSN performance are based on a single mechanism, lacking a complete and systematic research tool. At the same time, the design method should be considered from a global perspective when designing an automotive TSN system, rather than only considering a single mechanism that TSN applies to. This paper discusses the correspondence between traffic types and automotive scenarios and proposes a methodology to target the delay constraint of traffic types as the design goal of automotive TSN networks. To study the performance of automotive TSN under different mechanisms such as time-aware shaper (TAS), credit-based shaper (CBS), cyclic queuing and forwarding (CQF), etc., this paper also develops a systematic automotive TSN simulation system based on OMNeT++. The simulation system plays a crucial role in the whole methodology, including all applicable TSN standards for the automotive field. Lastly, a complex automotive scenario based on zonal architecture provided by a major motor company in Shanghai is analyzed in the simulated system; verifying TSN can guarantee real-time performance and reliability of the in-vehicle network.

show abstract

“…Network calculus that lies in a theoretical background of Min-plus algebra allows us to calculate the upper bound delay [9]. Therefore, it is widely used to analyze the worst-case delay bounds for deterministic networks including ARINC 664 or IEEE TSN [10] [11]. In the following two subsections, we present the worst-case delay analysis for the FPA, DPA, BLS-FPA, and BLS-DPA methods.…”

Section: Network Calculus Delay Analysismentioning

confidence: 99%

Priority Re-assignment for Improving Schedulability and Mixed-Criticality of ARINC 664

Yeniaydin¹,

Gemici

Demir

et al. 2021

2021 IFIP Networking Conference (IFIP Networking)

View full text Add to dashboard Cite

ARINC 664, which is a heavily used protocol for modern avionics networks, is preferred due to its simplicity although its mixed-criticality support is limited. Time Triggered Ethernet (TTEthernet), and IEEE Time Sensitive Networking (TSN), which utilize time synchronized schedule, are more suitable for supporting mixed-criticality applications; however, both require a fault tolerant time synchronization that makes the certification process more challenging. In this paper, we propose a novel dynamic priority assignment (DPA) concept together with the burst limiting shaper (BLS) from the IEEE TSN standard to enhance the schedulability and the mixed-criticality support of ARINC 664. The decision of flow re-assignment to a new priority class is done by calculating the high priority (HP) and low priority (LP) class worst-case delays using the network calculus framework. The numerical results show that the class utilization rates can be significantly increased by using the DPA concept with and without the BLS while the deadline constraints for all classes are satisfied. Thus, the DPA can improve the schedulability and mixed-criticality of ARINC 664 without using any time synchronization mechanism.

show abstract

Impact Analysis of Flow Shaping in Ethernet-AVB/TSN and AFDX from Network Calculus and Simulation Perspective

Cited by 30 publications

References 31 publications

Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research

Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research

Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System

Priority Re-assignment for Improving Schedulability and Mixed-Criticality of ARINC 664

Contact Info

Product

Resources

About