A unified approach for evaluating call blocking and burst blocking in high speed networks
Bibliographic record
Abstract
We resent a network dimensioning method for supporting multimedia services in high speed ATM networks with the required guarantee on the QOS at the call level and burst level simultaneously. The different multimedia traffic calls arrive according to a Poisson process and their holding time is exponentially distributed. Each traffic type admitted into the system is assumed to be either on-off source or composite of many on-off minisources, which requites certain bandwidth units when the source or minisource goes to on state. Associated with each traffic type, we have maximum number of calls that can be admitted into the system of shared resources. With the quasi-static approximation and with the use of recursion, we show, how the call blocking and burst blocking probabilities can be calculated, for the case of a multiplexer with limited capacity. Our numerical results show that the maximum statistical multiplexing gain for a certain QOS requirements, is bounded by the reciprocal of activity factor of on-off sources.
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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 | 0.001 |
| 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 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".