A novel approach to estimating the cell loss probability of an ATM multiplexer loaded with homogeneous bursty sources
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Bibliographic record
Abstract
The cell loss probability is determined in order to investigate the call admission control problem in an asynchronous transfer mode (ATM) multiplexer loaded with a superposition of M independent and homogeneous bursty sources. The system is modeled as a single-server queuing system with finite buffer space and a deterministic service rate. The arrival process is approximated by a Markov modulated deterministic process (MMDP) in which cells arrive at a uniform rate determined by an m-state Markov process. Two approximation methods based on the MMDP approach are proposed. The first leads to an efficient iterative algorithm for computing the system steady-state probabilities from which the cell loss probability can be calculated. The second provides a closed-form formula for the cell loss probability. Comparison with simulation results shows that the first method is remarkably accurate for all cases examined, whereas the closed-form formula is accurate for cases in which the average burst length is relatively large.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.000 | 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