MEQA 3 - a multi-end QoS application adaptation architecture
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
We present MEQA3 application adaptation architecture. MEQA3 manages QoS in two different points of the service activity, 1) the setup/initialisation period and 2) the service period. During the initialisation phase, the system performs an overall optimal QoS to application allocation considering the user requests, the estimated service requirements and the resource constraints. However, during the service time a resource overloading may occur either by bad initial estimation of application requirements or by some unexpected event that limits its performance. Thus, MEQA3 monitors the QoS of the applications on the user's side and if this exceeds the user specifications then dynamically adapts applications to the current situation. We demonstrate by a videoconference example that MEQA3 is an easy to implement low complexity architecture.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.008 | 0.001 |
| Research integrity | 0.001 | 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