MétaCan
Menu
Back to cohort
Record W2040496396 · doi:10.1109/ccece.2012.6334905

Optimal scheduling policy for AFDX End-Systems with virtual links of identical bandwidth allocation gap size

2012· article· en· W2040496396 on OpenAlexaff
R. Nishi, Guchuan Zhu, Yvon Savaria

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Time Synchronization Technologies
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsNetwork calculusComputer scienceScheduling (production processes)AvionicsBounded functionLatency (audio)Upper and lower boundsBandwidth allocationQuality of serviceComputer networkEnd-to-end principleReal-time computingDistributed computingMathematical optimizationTelecommunicationsMathematicsEngineering

Abstract

fetched live from OpenAlex

The Avionics Full Duplex Switched Ethernet is a data-link layer protocol meant to guarantee deterministic properties, such as bounded end-to-end delay, to ensure required quality of service for avionics applications. The present work focuses on the latency analysis in transmission at the End-System level of such networks. A scheduling policy for handling a set of virtual links of identical bandwidth allocation gap size is proposed. Network Calculus is applied to the delay upper bound computation from the service curve and the arrival curve of End-System. The tightest output arrival curve corresponding to the optimal policy in terms of aggregate output delays is then obtained. Mathematical analysis shows that prioritizing the virtual links with the slowest request rates results in the tightest delay bound. An illustrative numerical example confirming the validity of the proposed algorithm is provided.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.262
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), 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
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicNetwork Time Synchronization TechnologiesFrench-language works237,207