Experimental evaluation of MPEG-2 video over differentiated services IP networks
Bibliographic record
Abstract
As multimedia find their way in many applications and services, and with Internet's undisputed success as the networking technology of the future for the provision of integrated services, it became necessary that these two technologies interoperate effectively with each other. The real-time quality of service requirements of many multimedia applications involving video, audio etc., can not be satisfied by the best effort scenario, which is the basis of operation for the first generation of Internet. In order to make Internet quality of service (QoS) capable, IETF proposed a series of protocols and algorithms, some of them forming what is known as "Differentiated Services". In this paper, we evaluate the performance of MPEG-2 video over a Diffserv-capable network. Our extensive testing results give a very promising picture. With proper resource management and traffic engineering, differentiated services can provide satisfactory QoS to applications with serious delay and delay variation, packet loss and throughput requirements, such as MPEG-2 video.
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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) | 0.001 | 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".