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Record W2315584885 · doi:10.1364/acpc.2013.aw4h.7

On Achieving All-Optical and Signaling-Free Failure Restoration under Dynamic Traffics

2013· article· en· W2315584885 on OpenAlexaff
Pin‐Han Ho, Wei He, János Tapolcai, Bin Wu

Bibliographic record

VenueAsia Communications and Photonics Conference 2013 · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSpare partRouting (electronic design automation)Scheme (mathematics)Computer networkBlocking (statistics)Computer scienceNode (physics)SurvivabilityReuseBlock (permutation group theory)Adaptive routingDistributed computingDynamic Source RoutingRouting protocolEngineering

Abstract

fetched live from OpenAlex

This talk is on a novel dynamic survivable routing scheme, namely DJH. The proposed scheme is featured by a joint design for the optical layer monitoring plane and survivable routing, where monitoring trails (m-trails) are launched and can possibly reuse the spare capacity reserved for protection lightpaths (P-LPs). We will demonstrate how the proposed scheme determines the working lightpath (W-LP) and the corresponding P-LP(s), along with the configuration of the alarm code table (ACT) at each node, for each newly arrived connection request, where the targeted all-optical restoration can be fully ensured. Extensive simulation is conducted to examine the proposed DJH scheme in terms of blocking probability and compare it with a couple of previously reported counterparts, namely a p-Cycle based dynamic routing scheme and a failure dependent protection (FDP) based survivable routing scheme without considering all-optical monitoring.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.677

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 science0.0010.000
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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2013
Admission routes1
Has abstractyes

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