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Record W2952473555 · doi:10.5383/juspn.11.02.002

Green Service Level Agreement Compliance for Optical WDM Networks

2019· article· en· W2952473555 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Ubiquitous Systems and Pervasive Networks · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsService-level agreementWavelength-division multiplexingCompliance (psychology)Service (business)BusinessTelecommunicationsComputer networkComputer scienceOptoelectronicsPhysicsPsychologyQuality of serviceMarketingWavelengthSocial psychology

Abstract

fetched live from OpenAlex

In this paper we consider Green Service Level Agreement (SLA) as a constraint in finding a route for a dynamically received connection request in Wavelength Division Multiplexing (WDM) networks. We show that it is possible to save energy and reduce Greenhouse Gas (GHG) emission while satisfying optical network SLAs. The Integer Linear Programming (ILP) method introduced in this paper has been engineered to be simple and be solved in a timely manner needed for serving a dynamic connection request in control plane of the optical network. The ILP method introduced in this paper for the control plane of Optical WDM networks could also be used for the control plane of Software Defined Networks (SDN) and Software Defined Wide Area Networks.

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 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 score0.811
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.036
GPT teacher head0.252
Teacher spread0.216 · 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