Round-trip Time Variation in SmoothTCP in the Face of Spurious Errors
Bibliographic record
Abstract
Abstract — In this paper, we review the definition of a variant of TCP, called SmoothTCP, and describe one of its versions which uses ICMP-SQ messages as its primary control metric. This version of SmoothTCP is intended to be used in environments subject to spurious errors, such as in wireless networks. We evaluate the behavior of this version of SmoothTCP by comparing it with the behavior of Standard TCP in simulated environments with and without spurious errors. When there are no spurious errors, Standard TCP inherently drops packets and suffers large variations in the congestion window size causing large variations in round-trip time. In the case of spurious errors, Standard TCP encounters wide round-trip time variations around the retransmitted packet that was lost due to a spurious error. In both cases, SmoothTCP exhibits better performance with respect to round-trip time variation. Index Terms—congestion control, RTT, spurious errors, TCP performance, SmoothTCP, wireless performance.
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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 | 0.002 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".