eBPF-Driven ATS Scheduler: An Advanced Stream Processing Approach for Industry 5.0
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper, we present a programmable data plane design that implements IEEE 802.1Qcr’s Asynchronous Traffic Shaper (ATS) purely in software using Extended Berkeley Packet Filter (eBPF), eliminating specialized hardware requirements for industrial Time-Sensitive Networking (TSN) deployments. Unlike hardware-bound TSN solutions, our approach dynamically decouples and reprograms functions like filtering, metering, and queuing through in-kernel eBPF hooks, enabling adaptive priority management for concurrent streams within shared priority queues. The design explicitly models the ATS scheduler to parameterize per-stream eligibility times in TSN bridges while maintaining deterministic operation. This software-defined method provides a vendor-agnostic path for integrating ATS capabilities into existing industrial networks, particularly for Industry 5.0’s distributed control scenarios requiring flexible traffic multiplexing. The results confirm correct enforcement of ATS scheduling semantics under heterogeneous workloads.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it