Synthesis of network delays for voice packets in service overlay networks
Bibliographic record
Abstract
Toll quality Voice-over-IP (VoIP) provision over Service Overlay Networks (SONs) is still a big challenge for the current best-effort Internet. The end to end network delay, as one of the most important performance concerns, is the focus in this paper. In the paper, network delay characteristics, e.g. probability distribution and autocorrelation are studied. We propose an approach to synthesize network delay traces for QoS routing research in a full mesh Service Overlay Network(SON) given only partial information of the network delay trace. The main contributions of the paper include: 1) A parametric model of the network delay; 2) Method to synthesize network delay traces for voice packets sent over SONs. The synthesized network delay traces are shown to be close to real network delay traces. The synthetic network delay traces can be used to study quality of service provision mechanisms for VoIP applications over the Service Overlay Networks.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".