Scheduling periodic task graphs for safety-critical time-triggered avionic systems
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
Time-triggered communication protocols, such as time-triggered protocol (TTP) and FlexRay, have the potential to solve many system integration and concurrent engineering issues in the aerospace industry. This paper investigates the scheduling of periodic applications on time-triggered systems. A novel scheduling problem is formulated to capture a unique feature commonly existing in the safety-critical time-triggered systems, i.e., in task graphs running in such systems, some nodes (i.e., tasks and messages) are strictly periodic while others are not. To address the problem, a novel scheduling algorithm called synchronized highest level first (SHLF) algorithm is presented. Moreover, to further improve schedulability, this paper also proposes two rescheduling and backtracking approaches, namely release time deferment (RTD) procedure and backtracking and priority promotion (BPP) procedure. Performance evaluation results are presented to demonstrate the effectiveness and competitiveness of our approaches when compared with existing algorithms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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