Work-in-Progress: Isochronous Execution Models for Mixed-Criticality Systems on Parallel Processors
Why this work is in the frame
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Bibliographic record
Abstract
We propose redundancy-based execution models to address the reliability and correctness of safety/time-critical applications, and in particular, mixed-criticality systems. In our models, every job has one or more (possibly identical) versions, and all versions of a job are to run isochronously on multiple parallel machines in a lockstep fashion. The redundant machines act as monitoring coprocessors, and the execution of a job is deemed successful as soon as one of its versions completes within its worst-case execution time estimate, at which point we may terminate all the other versions. Doing so e ectively increases the chance that a job completes successfully and thus provides timing guarantees in the form of increased predictability. We present several allocation and scheduling problems with varying levels of generality, with the objective of minimizing the maximum makespan across all processors.
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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) | 0.000 | 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