The assessment of BitTorrent's performance using SDN in a Mesh topology
Bibliographic record
Abstract
The basis of this paper is grounded upon the theoretical assumption, which states that the integration of BitTorrent with Software-defined Networks (SDNs) will degrade the performance of BitTorrent, instead of improving it. This was further evaluated by emulating this experiment on a Ring topology to verify the results. The experimental results, however, showed an unexpected behavior wherein BitTorrent outperformed under a SDN. This objective of this paper is to re-evaluate the behavior of BitTorrent in a Mesh topology instead. We have run 12 BitTorrent clients in an emulated SDN Mesh topology using Mininet and varied the virtual topology periodically by taking one link down at a time from the topology. The experimental results show when the logical topology changed periodically the performance is worse than when the topology is static for BitTorrent.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.000 | 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 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".