A hybrid VBR/ABR service for scalable MPEG2 video networking: a simulation-based analysis
Bibliographic record
Abstract
The available bit rate (ABR) will be one of the primary available ATM service for carrying data. Since it is based on the use of excess bandwidth in the network, it is expected to have a lower usage cost. Although, it is intended for non-real time applications, the inclusion of a minimum cell rate (MCR) makes it an attractive and economical candidate for the transmission of delay tolerant video applications. Therefore, we evaluate the effectiveness of a hybrid ATM service, composed of a dual VBR/ABR connection, for the transport of a 2-layer MPEG2 encoded application. We compare the ABR binary feedback and explicit rate mechanisms in the transmission of an enhancement video sublayer for various data partitioning configurations. To carry out the comparison, we consider the variations of the switches buffer occupancy, the end-to-end cell transfer delay (CTD), and the 2-point cell delay variation (CDV). We show that for one-way video applications, the mean end-to-end delay is below the recommended 1 second but at the cost of a large buffer at the destination due to excessive jitter.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".