Fast backward congestion notification mechanism for TCP congestion control
Bibliographic record
Abstract
The novel mechanism proposed uses a simple implementation to inform the traffic source at a very early stage that the network is becoming overloaded or congested and ask the source to slow down its transmission rate. Since TCP uses acknowledgments (ACKs) to adjust the number of packets sent over the network, the basic idea of our scheme is to control (or delay) TCP ACKs in the access node where its forward connection through the network is congested. To shorten the control loop, the congested network node generates ICMP (Internet control message protocol) source quench to initiate ACK control at the access node at the onset of congestion. By theoretical analysis and simulations, the mechanism is proven to be very effective in improving TCP throughput and fairness performance and reducing buffer occupancy. In particular, formulae for buffer occupancy and average throughput are derived relative to the distance between the congested node and the source terminal. It is important to note that TCP behavior does not have to be amended in any way.
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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 | 0.001 | 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".