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Record W2121558058 · doi:10.1109/rws.2008.4463618

The use of explicit congestion notification to shape traffic of an intelligent satellite system

2008· article· en· W2121558058 on OpenAlexaff
Wahab Almuhtadi, Devin R. Murphy, Brian Cheng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsAlgonquin College
Fundersnot available
KeywordsComputer scienceExplicit Congestion NotificationComputer networkGeostationary orbitNetwork packetTraffic flow (computer networking)Network congestionReal-time computingCommunications satelliteTraffic congestionTerminal (telecommunication)SatelliteEngineeringTransport engineering

Abstract

fetched live from OpenAlex

Since the official standardization of explicit congestion notification (ECN) in 2001, the differentiated service (DS) bits 6 and 7 in packets are now classified for purposes of shaping and prioritization. These classifications are used to mark packet streams for controlling traffic flow in an intelligent satellite system (ISS). Using a forward link connection between a transmitting ground terminal to a geostationary satellite (GEO) acting as a relay, to a receiving hub back on the earth; a traffic shaping software which evaluates the ECN type or classification is used to control traffic flow and the results are observed.

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 score0.954
Threshold uncertainty score0.296

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 head0.064
GPT teacher head0.239
Teacher spread0.175 · 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

Citations3
Published2008
Admission routes1
Has abstractyes

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