TSN Algorithms for Large Scale Networks: A Survey and Conceptual Comparison

Nasrallah, Ahmed; Venkatraman, B.; Thyagaturu, Akhilesh S.; Reisslein, Martin; Elbakoury, Hesham

doi:10.48550/arxiv.1905.08478

Cited by 2 publications

(2 citation statements)

References 41 publications

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“…First, it would be interesting to judiciously change the GCL time for switches during reconfiguration whilst satisfying QoS requirements. The studied reconfiguration techniques should also be examined in alternate approaches for providing deterministic Qos, e.g., [22], [23] as well as in the context of related QoS oriented routing approaches, e.g. [24], [25].…”

Section: Discussionmentioning

confidence: 99%

Reconfiguration Algorithms for High Precision Communications in Time Sensitive Networks

Nasrallah

Venkatraman

Thyagaturu

et al. 2019

2019 IEEE Globecom Workshops (GC Wkshps)

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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 on Ethernet based packet-switched networks. In particular, the IEEE 802.1Qcc, centralized management and control, and the IEEE 802.1Qbv, Time-Aware Shaper, can be used to manage and control scheduled traffic streams with periodic properties along with best-effort traffic on the same network infrastructure. In this paper, 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 latency, zero packet loss, and minimal jitter for scheduled TSN traffic. We examine both a centralized network/distributed user model (hybrid model) and a fullydistributed (decentralized) 802.1Qcc model on a typical industrial control network with the goal of maximizing scheduled traffic streams.

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Section: Discussionmentioning

confidence: 99%

Reconfiguration Algorithms for High Precision Communications in Time Sensitive Networks

Nasrallah

Venkatraman

Thyagaturu

et al. 2019

2019 IEEE Globecom Workshops (GC Wkshps)

Self Cite

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“…Thus, for eliminating micro-burst traffic, IEEE aims to develop a set of standards named Time-Sensitive Networking (TSN) to provide deterministic transmission in layer 2. Due to the high efficiency, Cyclic Queuing Forwarding (CQF) [5] is one of the top choices in TSN [6]. Besides, Credit-Based Shaper [7] and Time-Aware Shaper [8] are also well-known mechanisms in TSN.…”

Section: Introductionmentioning

confidence: 99%

Long-distance Deterministic Transmission among TSN Networks: Converging CQF and DIP

Tan¹,

Wu²

2021

Preprint

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With the development of 5G, innovative applications requiring bounded transmission delays and zero packet loss emerge, e.g., AR, industrial automation, and smart grid. In this circumstance, time-sensitive networking (TSN) is proposed, which addresses the deterministic transmission in the local area networks. Nevertheless, TSN is essentially a Layer 2 technique, which cannot provide deterministic transmission on a large geographic area. To solve this problem, this paper proposes a hierarchical network for the end-to-end deterministic transmission. In the proposed network, we leverage CQF (i.e., one of the most efficient TSN mechanisms) in the access networks which aggregates the traffic from end-devices. Meanwhile, in the core network, we exploit the DIP (i.e., a well-known deterministic networking mechanism for backbone networks) for long-distance deterministic transmission. We design the cycle alignment mechanism to enable seamless and deterministic transmission among hierarchical networks. A joint schedule is also formulated, which introduces the traffic shaping at the network edge to maximize the network throughput. Experimental simulations show that the proposed network can achieve end-to-end deterministic transmission, even in the highly-load scenarios.

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TSN Algorithms for Large Scale Networks: A Survey and Conceptual Comparison

Cited by 2 publications

References 41 publications

Reconfiguration Algorithms for High Precision Communications in Time Sensitive Networks

Reconfiguration Algorithms for High Precision Communications in Time Sensitive Networks

Long-distance Deterministic Transmission among TSN Networks: Converging CQF and DIP

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