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Record W2104226198 · doi:10.1109/iscc.2009.5202335

Deploying agile photonic networks over reconfigurable optical networks

2009· article· en· W2104226198 on OpenAlexaff
Sofia A. Paredes, Gregor von Bochmann, Trevor J. Hall

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAgile software developmentComputer scienceComputer networkTime-division multiplexingReconfigurabilityWavelength-division multiplexingNetwork topologyPhotonicsSoftware deploymentOptical networkingMultiplexingEdge device10G-PONPassive optical networkTelecommunicationsWavelengthPhysics

Abstract

fetched live from OpenAlex

The advantages and issues in deploying a fast photonic network on top of a reconfigurable WDM network are discussed. The agile photonic network is deployed as another user of the reconfigurable optical WDM network (RON), with the reconfigurable optical switches setting up the optical circuits that define the virtual topology for the agile network. The services provided by the agile network are then carried over the wavelengths that are assigned to it by the global control plane of the RON. Such deployment would allow the agile network to provide the fast optical time division multiplexing (OTDM) scheduling techniques warranted for fast-changing, low-capacity traffic flows typical of metropolitan and access networks; while sustained, high-capacity flows would remain in whole lightpaths provided at the RON level to other users. Connectivity options are described for edge and core nodes, as well as the functionality requirements of the global control plane that would manage such a deployment.

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 categoriesMeta-epidemiology (narrow)
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 score0.928
Threshold uncertainty score1.000

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 integrity0.0000.001
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 head0.215
Teacher spread0.207 · 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.

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

Citations3
Published2009
Admission routes1
Has abstractyes

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