Call scheduling in multicasting packet switching
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The implementation and performance of multicast packet switching in a broadband network environment are discussed. In terms of scheduling the transmission of the copies of the packet onto output ports, two basic service disciplines have been defined: (1) one-shot scheduling where all the copies are transmitted in the same time slot; and (2) call splitting with transmission over several time slots. As subcategories of call splitting strict-sense call splitting specifies that each packet can send at most one copy to the destination per time slot and wide-sense call splitting does not carry this restriction. A novel scheme called revision scheduling is proposed to mitigate the head of line blocking effect by sequentially combining the one-shot scheduling and the call splitting disciplines. Schematic structures are introduced for each category of scheduling, in the form of combinational logic circuits which are designed to resolve the output contentions corresponding to call scheduling disciplines, by incorporating a cyclic priority access policy. To compare the performances of various techniques, simulation studies were performed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.001 | 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 | 0.000 |
| 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