Architecture and Performance Analysis of the Multicast Balanced Gamma Switch for Broadband Communications1
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Bibliographic record
Abstract
Abstract — This paper presents the architecture design as well as the performance analysis of a new cell-based multicast switch for broadband communications. Using distributed control and a modular design, the Balanced Gamma (BG) switch features a high performance for unicast, multicast and combined traffic under both random and bursty conditions. Although it has buffers on input and output ports, the multicast BG switch follows predominantly an output-buffered architecture. The performance is studied under uniform and non-uniform multicast traffic in terms of cell loss ratio and cell delay. The results are compared with those from an ideal pure output-buffered multicast switch to demonstrate how close its performance is to that of the ideal but impractical switch. Comparisons with other published switches reveals the superior of the BG switch and the tradeoffs between complexity and performance in a packet switch design. It is shown that the multicast BG switch achieves a performance close to the ideal switch while keeping hardware complexity reasonable. Index Terms — Multicast, Balanced Gamma (BG) switch, performance analysis, multistage interconnection network (MIN),
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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 | 0.001 | 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 it