ALTERNATIVES IN NETWORK TRANSPORT PROTOCOLS FOR AUDIO STREAMING APPLICATIONS
Bibliographic record
Abstract
Audio streaming is often pictured as a networking application that is not concerned with packet loss or data integrity, but is otherwise very latency-sensitive.However, some usage scenarios may be identified, such as remote recording, that shift concerns towards more conservative views regarding stream integrity.Although many streaming applications today use the UDP protocol, there are some alternative transport layer protocols that are worth investigating, especially in applications other than Voice-over-IP (VoIP) or live distributed performance.This paper compares audio streaming in local-area computer networks over four different transport protocols on the TCP/IP stack: TCP, UDP, STCP and DCCP.Each of these protocols and their features will be discussed, first from a theoretical point-of-view, and then through experimental results.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.010 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".