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Record W2465969241 · doi:10.1109/ict.2016.7500475

Improving carrier ethernet recovery time using a fast reroute mechanism

2016· article· en· W2465969241 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 institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsCarrier EthernetConnection-oriented EthernetMetro EthernetEthernet over SDHComputer networkEthernet over PDHComputer scienceEthernet flow controlATA over EthernetSynchronous EthernetEthernetIndustrial EthernetLocal area networkDistributed computing

Abstract

fetched live from OpenAlex

Ethernet has evolved from a local network technology to a technology that can be used in metro access and transport networks. Unfortunately the new Ethernet networks cannot achieve the level of reliability of traditional TDM Carrier-class networks. In order to improve Ethernet performance, we need to develop new mechanisms specifically adapted to this type of network technology. The high convergence time of control protocols is one of the problems in both traditional and new generation Ethernet networks. This paper presents a fast recovery mechanism as a solution for the high convergence time. This mechanism uses tunnels and cycles to provide a local recovery and is adapted to a Carrier-class Ethernet network controlled by a link-state protocol. Simulations are used to show the advantage of the use of this mechanism in comparison to the global recovery mechanism of link-state protocols.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.707
Threshold uncertainty score0.452

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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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