A Multi-core Multicast Approach for Delay and Delay Variation Multicast Routing
Bibliographic record
Abstract
Multicast communication constrained by end-to-end delay and inter-destination delay variation is known as Delay and Delay Variation Bounded Multicast (DVBM). These constraints make the multicast communication real-time. In this paper, we propose a multi-core multicast approach to solve the DVBM problem. The proposed three-phase algorithm, Multi-core DVBM Trees (MCDVBMT), semi-matches group members to core nodes. The message is disseminated to group members using trees rooted at the designated core nodes. Simulation results show that when existing single-core based algorithms fail to construct a tree satisfying both constraints, MCDVBMT succeeds using multiple cores with better inter-destination delay variation and traffic concentration. However, the cost and the end-to-end delay of the communication is higher than that of single-core algorithms.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".