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Record W2402223719 · doi:10.5555/2048370.2048388

Component-oriented interoperation of real-time DEVS engines

2011· article· en· W2402223719 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.

Bibliographic record

VenueAnnual Simulation Symposium · 2011
Typearticle
Languageen
FieldComputer Science
TopicReal-Time Systems Scheduling
Canadian institutionsCarleton University
Fundersnot available
KeywordsDEVSInteroperationComputer scienceComponent (thermodynamics)InteroperabilityInterface (matter)ReuseDistributed computingReusabilityEmbedded systemOperating systemSimulationEngineeringModeling and simulation

Abstract

fetched live from OpenAlex

Model reuse and interoperability are cost and effort saving solutions for the simulation-driven development of embedded real-time systems. Different embedded systems share the same components (e.g. motors, sensors, actuators, controllers, etc), and remodeling them is costly in terms of time and effort. Instead, by combining different existing models, developers can improve productivity. To do so, we here present a generic lightweight interface for message transfers between DEVS models running on different DEVS-based tools. The idea is to allow defining component-based models to be deployed on different tools collaborating in real-time. The components work autonomously as separate DEVS models, and exchange messages at the input-output level over a network infrastructure. We present a proof of concept implementation in which we interfaced ECD++ and PowerDEVS, to DEVS-based tools.

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 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 score0.624
Threshold uncertainty score0.643

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 communication0.0000.001
Open science0.0000.000
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 head0.249
Teacher spread0.230 · 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