QoS-capable micromobility MPLS and its prototype implementation
Bibliographic record
Abstract
Micromobility MPLS (MM-MPLS) is a new protocol, proposed recently through our research group, which extends use of multiple protocol label switching (MPLS) in micro mobility environment. The protocol provides better performance in several respects, one of them been handoff delay. In MM-MPLS, the depth of handoff-related changes is limited up to crossover router, rather than up to foreign domain agent. Also, soft-state location management using RSVP-TE is adopted. The issue of quality of service (QoS) provision in a micromobility MPLS environment involves path redirection at crossover routers, resource reservation while redirecting path, and admission control with priority for handoff traffic. A prototype of MM-MPLS is implemented on Linux 2.4 and has been deployed on our experimental testbed. This deployment demonstrates MM-MPLS' s practicality and applicability in a real mobile networking environment.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".