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Record W2128188853 · doi:10.1049/ip-com:20020306

Destination-initiating path restoration protocol for wavelength-routed WDM networks

2002· article· en· W2128188853 on OpenAlexaff
Jun Zheng, Hussein T. Mouftah

Bibliographic record

VenueIEE Proceedings - Communications · 2002
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsComputer networkSurvivabilityComputer scienceBackupProvisioningNode (physics)Protocol (science)Path (computing)Wavelength-division multiplexingConnection (principal bundle)Transmission (telecommunications)Distributed computingTelecommunicationsEngineeringWavelengthMedicine

Abstract

fetched live from OpenAlex

Network survivability has been a crucial concern in wavelength-routed WDM networks. Due to the huge transmission capacity, a single network failure may cause a large amount of data loss, which would greatly degrade and even disrupt network services. In the paper, a destination-initiating path restoration protocol is proposed for surviving single-link failures in wavelength-routed WDM networks. Unlike existing path restoration protocols, the proposed protocol allows the destination node of a broken connection to initiate a connection restoration process. The objective is to reduce the connection restoration time so that a backup path can be provisioned rapidly for each broken connection that traverses a failed link. The major procedures of the protocol are described and its performance in terms of the connection restoration time is evaluated.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.297
Teacher spread0.232 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2002
Admission routes1
Has abstractyes

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