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Time-Sensitive Networking (TSN) is a set of amendments that extend Ethernet to support distributed safety-critical and real-time applications in the industrial automation, aerospace and automotive areas. TSN integrates multiple traffic types and supports interactions in several combinations. In this paper we consider the configuration supporting Scheduled Traffic (ST) traffic scheduled based on Gate-Control-Lists (GCLs), Audio-Video-Bridging (AVB) traffic according to IEEE 802.1BA that has bounded latencies, and Best-Effort (BE) traffic, for which no guarantees are provided. The paper extends the timing analysis method to multiple AVB classes and proofs the credit bounds for multiple classes of AVB traffic, respectively under frozen and non-frozen behaviors of credit during guard band (GB). They are prerequisites for non-overflow credits of Credit-Based Shaper (CBS) and preventing starvation of AVB traffic. Moreover, this paper proposes an improved timing analysis method reducing the pessimism for the worst-case end-to-end delays of AVB traffic by considering the limitations from the physical link rate and the output of CBS. Finally, we evaluate the improved analysis method on both synthetic and real-world test cases, showing the significant reduction of pessimism on latency bounds compared to related work, and presenting the correctness validation compared with simulation results. We also compare the AVB latency bounds in the case of frozen and non-frozen credit during GB. Additionally, we evaluate the scalability of our method with variation of the load of ST flows and of the bandwidth reservation for AVB traffic.

Time-Sensitive Networking (TSN) is an upcoming set of Ethernet standards designed for real-time and safety-critical Internet of Things (IoT) applications in automotive, aerospace and industrial automation domains. With the combination, complexity and flexibility of flow control mechanisms in TSN connected systems, the performance analysis for mixed-critical messages is becoming a difficult challenge. The flexible window-based Gate Control List (GCL) scheduling model has been proposed as a relaxation to assumptions on frames-to-window allocation, mutually exclusive gates opening, and scheduled end systems and switches, which offers more flexibility in the configuration of GCLs. In this paper, we are interested in providing a reliable verification method based on the network calculus theory to drive GCL configurations for TSN networks. To the best of our knowledge, this is the first performance analysis method suitable for the general flexible window-based GCLs in entire TSN networks, by reflecting the relative positional relationships of windows for same priority queues on consecutive nodes and constructing the window limitations into the shaper curve, in order to reduce the pessimism of the latency bounds. We validate the proposed method through Industrial IoT synthetics test cases and two large realistic cases, showing the significant reduction in pessimism on delay bounds, and the correctness and scalability by comparing with results from the previous work and simulation results.

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