TCP with Adaptive Delay and Loss Response for Heterogeneous Networks
Bibliographic record
Abstract
Long propagation delays and high bit error rates in heterogeneous networks with geostationary earth orbit (GEO) satellite links have negative impact on the performance of Transmission Control Protocol (TCP). In this paper, we propose modifications to TCP by introducing adaptive delay and loss response (TCP-ADaLR) to mitigate the adverse effects of satellite link characteristics. The proposed modifications incorporate delayed acknowledgment (ACK) recommended for Internet hosts. TCP-ADaLR introduces adaptive window increase and loss recovery mechanisms to address TCP performance degradation in satellite networks. We evaluate and compare the performance of TCP-ADaLR, TCP SACK, and TCP NewReno, with delayed ACK enabled and disabled. In the absence of losses, TCP-ADaLR exhibits the shortest user-perceived latency for HTTP and FTP applications. In the presence of only congestion losses, TCP-ADaLR shows comparable performance to TCP SACK and TCP NewReno. In the presence of only error losses, TCP-ADaLR exhibits improvements up to 61 % and 76 % in throughput and utilization, respectively. In the presence of both congestion and error losses, TCP-ADaLR exhibits goodput and throughput improvements up to 43%. TCP-ADaLR exhibits the best performance in the absence of losses and in the presence of losses due to both congestion and errors. It also friendly to TCP NewReno, exhibits better fairness, and maintains TCP end-to-end semantics.
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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) | 0.000 | 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".