Multicast and self-routing in ATM radix trees and banyan networks
Bibliographic record
Abstract
Considers methods that perform all point-to-multipoint permutations in ATM radix tree and banyan networks. The authors investigate the relationship between the structure of the routing tab and the ease of performing multicasting. They first consider a simple explicit addressing scheme that requires (N-1)(log/sub 2/N+1) routing bits. They then present an addressing filtering scheme that requires N routing bits. Next they propose a new method, the vertex isolation addressing (VIA) scheme, which requires r(N-1)/(r-1) bits for radix-r tree networks. Thus for binary trees the routing tab i 2(N-1) bits long and as r approaches N the routing tab approaches N bits. The authors demonstrate that the "excess" bits in the VIA routing tab provide certain error detection capabilities. Encoding and decoding algorithms and hardware implementations for the VIA method are presented. Modified VIA schemes are then investigated for large tree networks. Finally the authors show that the VIA scheme and its modifications are applicable to banyan networks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".