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Record W2125615653 · doi:10.1109/icccn.2001.956220

Issues on diverse routing for WDM mesh networks with survivability

2002· article· en· W2125615653 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsSurvivabilityComputer sciencePath (computing)Disjoint setsComputer networkRouting (electronic design automation)Distributed computingWeightingNode (physics)The InternetHeuristicPath protectionSolverWavelength-division multiplexingMathematicsEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

The task of finding a physically disjoint protection path from a working path to guarantee service continuity during the occurrence of failures has been one of the most important issues for improving survivability of the optical Internet. We focus on the study of finding asymmetrically weighted optimal node-disjoint path-pairs for shared protection so that network performance in terms of success rate of building up disjoint path-pairs and average restoration time are improved. We first propose and examine a novel heuristic algorithm to solve the diverse routing problem in a network with heterogeneous link states for working and protection path pairs, which is based on the sub-optimal path-solver (SOPS), a new method for finding loop-less K-shortest paths. A simulation-based study on the weighting parameter of working paths versus network performance is conducted.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.228
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations27
Published2002
Admission routes1
Has abstractyes

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