Dynamic routing for multimedia traffic over ATM networks
Bibliographic record
Abstract
ATM networks support multimedia traffic where diverse services have to be provided and various QoS requirements have to be met. Routing plays an important role in guaranteeing the QoS. However conventional routing will cause a significant overhead when the network size gets very large or rerouting occurs frequently due to the varying link state. The objective of our dynamic routing scheme is to perform more efficient routing over a more effective and simpler topology which is abstracted from the original full topology based on the dynamic link state. Only those links with high probability to satisfy the QoS of the call are included in the effective topology. It is an efficient way to prevent rerouting from occurring too often because the blocking probability over this effective topology is significantly low. A hierarchical routing model is also proposed to further reduce the amount of information that has to be stored and exchanged for routing. We present the simulation results of our dynamic routing scheme along with the hierarchical routing model and its implementation over QUARTS, a simulation testbed for ATM 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 | 0.000 | 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 | 0.000 | 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".