Limited intermediate buffer switch modules and their interconnection networks for B-ISDN
Bibliographic record
Abstract
Gupta et al. (1991) presented an analysis of a limited intermediate buffer (LIB) switch consisting of input buffers and a limited amount of buffers in the switch fabric, where contention for the output ports occurs. A novel scheduling scheme based on head of line blocking was proposed, which improved the performance significantly. For uniform random traffic, a 16*16 LIB switch had an achievable throughput equal to 87.5%. The authors examine the switch performance under two delay dependent priority classes and show that the achievable throughput can be increased to 91%. To build large-size switching systems, a multistage interconnection network is proposed, which meets the demands of large-scale asynchronous transfer mode (ATM) switch design, such as (1) modularity, (2) relaxed synchronization, (3) guaranteed high performance without requiring internal speedup, and (4) maintaining packet sequence integrity. The simulation results of three-stage interconnection networks prove the efficacy of the LIB switch architecture and the proposed scheduling scheme.>
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".