Delay tolerant EPC-BGP for discovery services in EPCGlobal networks
Bibliographic record
Abstract
In this paper, we present a new protocol for EPC discovery services, namely Delay Tolerant EPC-BGP (DT-EPC-BGP), which is an extension of the previously proposed EPC-BGP. By inheriting all features of EPC-BGP features, DT-EPC-BGP introduces a new mechanism that allows information about the status of the mesh nodes to be exchanged along with other routing information. This new extension sets update sessions with only active nodes, and drops any update request that is destined to an inactive node. We have evaluated DT-EPC-BGP in terms of blocking probability, similarities among routing tables and number of updates in comparison to EPC-BGP. We have shown that DT-EPC-BGP outperforms its predecessor, EPC-BGP by introducing lower blocking probability, lower inconsistency in routing tables among different nodes, and lower number of updates which leads to less control overhead messages.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".