Virtual call admission control-a strategy for dynamic routing over ATM networks
Bibliographic record
Abstract
Routing and call admission control (CAC) mutually interact with each other in ATM networks. This interaction creates new problems for dynamic routing over ATM networks, such as that a path selected by routing may be rejected by CAC. We present a routing strategy called virtual call admission control (VCAC) to minimize these problems. For any single call, VCAC prunes the entire network topology to an effective one, based on which, routing then selects the paths. The algorithms developed for CAC are adopted for VCAC, so VCAC can precisely predict the decision to be made by CAC. We also propose a simple VCAC algorithm and compare it with other VCAC algorithm candidates based on certain criteria. Their performance is evaluated through computer simulation. The simulation results indicate that VCAC is an effective strategy for dynamic routing over ATM networks and the proposed algorithm for VCAC meets all the criteria, and therefore is a good candidate for VCAC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".