Inter-Stream Dependencies in Time-Sensitive Networking

被引:0
作者
Chahed, Hamza [1 ,2 ]
Yarvis, Mark
Frick, Florian [3 ]
Kassler, Andreas [2 ,4 ]
机构
[1] Intel Deutschland GmbH, Neubiberg, Germany
[2] Karlstad Univ, Dept Math & Comp Sci, Karlstad, Sweden
[3] Univ Stuttgart, Inst Control Technol Machine Tools & Mfg Equipmen, Stuttgart, Germany
[4] Deggendorf Inst Technol, Fac Appl Comp Sci, Deggendorf, Germany
来源
2025 28TH CONFERENCE ON INNOVATION IN CLOUDS, INTERNET AND NETWORKS, ICIN | 2025年
关键词
Time Sensitive Networking; inter-stream dependency; User Network Interface (UNI); Network Optimization;
D O I
10.1109/ICIN64016.2025.10943101
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Effective configuration of Time-Sensitive Networks is crucial for providing timeliness and reliability guarantees for real-time industrial applications, where many inter-dependent streams may co-exist. However, existing methods for specifying the characteristics of real-time streams to the Centralized Network Configuration element (CNC) do not allow the specification of stream dependencies. Consequently, the CNC may schedule the real-time streams in a sub-optimal way, leading to low number of real-time applications supported. To address this pressing issue, we present methods that allow to model and express such inter-stream dependencies and propose extensions to the user network interface (UNI) to convey these dependencies to the CNC, transforming it into an intent-based UNI. We define a novel metric to evaluate a specific network configuration regarding the latency budget available for scheduling the transmission of a stream. Using a set of numerical simulations, we show that when exploiting the knowledge of inter-stream dependencies, we can derive better network schedules, which results in significant increase in applications onboarding up to 2.2x and increased network utilization for real-time streams up to 3x.
引用
收藏
页码:107 / 114
页数:8
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