Fragmentation in Reconfigured Real-time Production Networks

Arnim, Christian von; Lechler, Armin; Riedel, Oliver; Verl, Alexander

doi:10.1007/978-3-662-61755-7_10

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…Or, nodes may inject additional traf ic lows or traf ic lows may terminate, or the latency requirements of lows may change dynamically. Such dynamic changes have been included in the use cases de ined by the IEC/IEEE 802.1 TSN TG [10,89]. In a typical industrial environment, sensors that periodically or sometimes sporadically send ambient measurements to a local gateway require certain Quality of Service (QoS) guarantees [6,16,31,42,64].…”

Section: Motivationmentioning

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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