Impact of broadcast, multicast and unknown unicast at low speed DSL connections based at SHDSL
Bibliographic record
Abstract
In this paper we discussed about impact of broadcast/multicast/unknown unicast at low speed DSL connections that are based on SHDSL. We showed that impact of broadcast and multicast is negligee in comparing with unknown unicast. In presented case the unknown unicast has made an impact with fatal consequence (total break or very slow access to internet) in network with 500 Low Speed DSL users. At the end, we discussed three possible scenarios for remove this impact: filtering of unknown unicast, changing VLAN per location and correcting settings of transport network and we showed two experimental resultants of removing of this impact in case of the filtering and dedicated one VLAN per each location. Therefore, we demonstrated that an impact of unknown unicast was total removed in both cases. In addition, we showed the fatal impact on links can be occurred when only 0,1 % of uplink is unavailable.
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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 | 0.001 |
| 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".