A New Evaluation Method of Communication for Distributed Control
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
Distributed systems are relying more heavily on event-triggered system architectures such as UML and IEC 61499. Existing communication protocols can support the high-level communication within these systems, but there is contention as to which low-level protocol to use, or if any exist that meet the requirements of being event-triggered and hard realtime. This paper presents a new way to measure communication performance. The goal of the new measurement method is to stress the necessity that a system be both efficient and fair. This is illustrated by comparing three communication strategies; controller area network (CAN), time-triggered CAN (TTCAN), and alternating priority CAN. The first two represent the extremes between event-triggered and time-triggered communication strategies. The third is introduced to illustrate the benefits of the new measurement technique
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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