On the Impact of Network State Collection on the Performance of SDN Applications
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Bibliographic record
Abstract
Intelligent and autonomous SDN applications need to monitor the network state in order to take appropriate actions. In this letter, we compare the impact of active and passive network state collection methods on an SDN load-balancing application running at the controller. We do this comparison through: 1) the results of a mathematical model evaluation we derive for the SDN load-balancer, and 2) the results of a series of elaborate experiments we ran on our emulation setup. The results show that in case of low-variation traffic, the load-balancer with passive state collection performed better than the active one, which was confirmed by both model and experimental evaluation. However, the load-balancer with the active state collection was more resilient to the nature of the traffic load.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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