Analysis of discrete voltage level energy efficient scheduling for fixed priority framework
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
Energy consumption has become an increasingly important consideration in the design of real-time embedded systems. In this study, we have also tried scheduling real-time tasks under energy savings, which shows a possibility of energy reduction compared to systems employing no power saving. In this work, efforts are made to study the scheduling of soft real-time jobs with hard real-time jobs. In this study, apart from investigating the effect of voltage variation on power consumption, we have also studied its effect on the response time of soft jobs. Resource reclaiming is further explored in the proposed approach as some tasks are completed before their worst-case execution time. The analysis of resource reclaiming shows that it improves average response time and also saves energy when compared to approaches where reclaiming is not employed. Designing real-time systems with multiple processors that use less energy is still an open area of research.
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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 | 0.001 | 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