Enhancing Schedulability and Throughput of Time-Triggered Traffic in IEEE 802.1Qbv Time-Sensitive Networks

Hanzalek, Zdenek; Hanzálek, Zdeněk; Brejchová, Kateřina; Tang, Siyu; Bhattacharjee, Sushmit; Fu, Songwei

doi:10.1109/tcomm.2020.3014105

Cited by 63 publications

(17 citation statements)

References 23 publications

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“…For TSN 802.1Qbv, we evaluate two different types of schedulers. "Qbv-A" represents the performance of using the scheduler mentioned in [64]. Under "Qbv-B" scheme, we give an equal scheduling opportunity to the three URLLC traffic flows i.e., equal time in the GCL for each of the flows to pass through.…”

Section: B Evaluationmentioning

confidence: 99%

Network Slicing for TSN-Based Transport Networks

et al. 2021

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In this work, we present and analyze methods and mechanisms for interconnecting a network slice control and management system of the mobile network, with an IEEE Time-Sensitive Network (TSN) control plane. IEEE TSN is gaining momentum as a key technology that is able to provide network service guarantees for Ethernet-based communications. Although Ultra-Reliable Low-Latency Communications (URLLC) have been thoroughly investigated in 5G, incorporating TSN technologies in the Transport Network is expected to unleash the potential of end-to-end deterministic communications, especially in industrial environments and time-critical applications like factory automation. We elaborate on the concepts of a TSN-aware Xhaul network, present a novel architecture, and describe a set of amendments required in order to enable network slicing. With the devised approach, a sliceaware TSN-enabled transport network can be controlled and managed in an end-to-end orchestrated way. Implementation experience and evaluation results are reported using TSN-enabled prototype devices, OpenAirInterface (OAI), and JOX slice orchestrator.

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Section: B Evaluationmentioning

confidence: 99%

Network Slicing for TSN-Based Transport Networks

et al. 2021

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“…We provide a comprehensive design and evaluation of an SDN based TSN model that bases the speci ication on the standardization given by the IEEE 802.1Q standard. Vlk et al [87] have proposed a simple hardware enhancement of a switch along with a relaxed scheduling constraint that increases schedulability and throughput of the time-triggered traf ic but maintains the deterministic nature and timeliness guarantees in a TSN network. Several related scheduling re inements that are orthogonal to the recon iguration studied in this article have been examined in [26,40,43,53,74,93].…”

Section: Related Workmentioning

confidence: 99%

Reconfiguration algorithms for high precision communications in time sensitive networks: Time-aware shaper configuration with IEEE 802.1Qcc

Elbakoury¹,

Reisslein²,

Thyagaturu³

et al. 2021

ITU-J FET

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As new networking paradigms emerge for different networking applications, e.g., cyber-physical systems, and different services are handled under a converged data link technology, e.g., Ethernet, certain applications with mission critical traffic cannot coexist on the same physical networking infrastructure using traditional Ethernet packet-switched networking protocols. The IEEE 802.1Q Time Sensitive Networking (TSN) Task Group is developing protocol standards to provide deterministic properties, i.e., eliminates non-deterministic delays, on Ethernet based packet-switched networks. In particular, the IEEE 802.1Qcc, centralized management and control, and the IEEE 802.1Qbv, Time-Aware Shaper (TAS), can be used to manage and control Scheduled Traffic (ST) streams with periodic properties along with Best-Effort (BE) traffic on the same network infrastructure. We investigate the effects of using the IEEE 802.1Qcc management protocol to accurately and precisely configure TAS enabled switches (with transmission windows governed by Gate Control Lists (GCLs) with Gate Control Entries (GCEs)) ensuring ultra-low bounded latency, zero packet loss, and minimal jitter for ST TSN traffic. We examine both a centralized network/distributed user model (hybrid model) and a fully-distributed (decentralized) 802.1Qcc model on a typical industrial control network with the goal of maximizing the number of ST streams.

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“…The global schedule would have to deal with thousands of flows that are still interacting due to collisions at rate transition, a true complexity nightmare. The paper of Vlk et al [17] provides a good insight into the complexity of TSN scheduling. In contrast to the intrinsic isolation between TDM slot reservations, TSN's flow isolation is not as strict.…”

Section: Tsn Over a Tdm Backbonementioning

confidence: 99%