Delay-Guaranteeing Admission Control for Time-Sensitive Networking Using the Credit-Based Shaper

被引:7
作者
Maile, Lisa [1 ]
Hielscher, Kai-Steffen J. [1 ]
German, Reinhard [1 ]
机构
[1] Friedrich Alexander Univ Erlangen Nurnberg, Comp Networks & Commun Syst, D-91058 Erlangen, Germany
来源
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY | 2022年 / 3卷
关键词
Delays; Standards; Admission control; Mathematical models; Logic gates; Routing; Resource management; computer network management; credit-based shaper; network calculus; quality of service; routing; time-sensitive networking; TSN;
D O I
10.1109/OJCOMS.2022.3212939
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With real-time communication being a key part of the fourth industrial revolution, the need for Quality of Service (QoS) in industrial networks is gaining increasing importance. Time-Sensitive Networking (TSN) faces this need, for example, by introducing new scheduling mechanisms. The Credit-Based Shaper (CBS) has been introduced to TSN to offer low delays for multiple traffic classes by applying rate limitations. Currently, flows are reserved decentrally in CBS networks using a Stream Reservation Protocol (SRP). In contrast, the new TSN standard IEEE 802.1Qcc allows for a centralized architecture to favor short reconfiguration latencies. However, no online admission control scheme which offers safe delay bounds has been proposed for this central architecture. To close this gap, we propose two models for admission control in TSN networks using CBS. Both models offer deadline-guaranteeing flow allocation, including routing and prioritization of flows, and configure forwarding devices while eliminating packet loss. Our models utilize the mathematical framework of Network Calculus to calculate worst-case flow delays and buffer sizes. We show how our models allow for more reservations than the decentralized standard approach by improved resource utilization. We validate our models both in synthetic and industrial network scenarios. Additionally, we compare the effects and parameters of our two models, providing guidance on when to choose them.
引用
收藏
页码:1834 / 1852
页数:19
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