Practical issues with the timing analysis of the Controller Area Network
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Bibliographic record
Abstract
The Controller Area Network (CAN) bus is widely used and has been studied in several research works to determine the worst-case response time of messages. More results are being added to study systems that are not constructed according to the ideal behavior of the message queuing and CAN controller assumed in the past. In this paper, we provide an assessment on the practical relevance of several of those results. We also present theory and empirical studies on the relative importance of several implementation issues that are quite common in real systems and further deviate from the ideal behavior. In addition, we propose a heuristic for the design of multiple software queues when using TxObjects without preemption, and derive an upper bound on the worst case response time when message output at the CAN driver is polling based.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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