MétaCan
Menu
Back to cohort
Record W2807212428 · doi:10.22215/etd/2013-09896

Thin Client Distributed Simulation of Discrete Event Models

2013· dissertation· en· W2807212428 on OpenAlexaff
Colin Timmons

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldDecision Sciences
TopicSimulation Techniques and Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsDiscrete event simulationComputer scienceHTML5Event (particle physics)Simulation languageDistributed computingProtocol (science)Web-based simulationWeb serviceSimulationWorld Wide WebWeb navigationWeb API

Abstract

fetched live from OpenAlex

Distributed simulation is defined as real-time functional or platform-level war-gaming on multiple host computers. This simulation is composed of self-sufficient monolithic applications designed to communicate only across a standard interface such as High Level Architecture (HLA), Testing and Training Enabling Architecture (TENA), the Distributed Interactive Simulation (DIS) protocol or Link 16. The applications may represent up to Command, Control, Communication, Computer, Intelligence, Surveillance, and Reconnaissance (C4ISR) simulation applications. The Discrete-EVent System Specifications (DEVS) formalism has been extensively to study discrete event systems. Cellular-Discrete EVent System Specification (Cell-DEVS) is a DEVS-based formalism that combines cellular automata and DEVS allowing implementation of cellular models with timing delays. CD++ is a modeling and simulation toolkit used to build DEVS and Cell-DEVS models with a RESTful web-based interface in a distributed systems context. The distributed simulations and distributed systems are incompatible to directly interface which each other without refactoring either side. A thin client technique has been proposed to allow interoperability between the two M&S frameworks. This work studies HyperText Markup Language -version 5 (HTML5), JavaScript, multithreading, WebSockets, the presentation and extraction of Cell-DEVS data, the interfaces of distributed simulations and the WebLVC protocol in order to expose the Cell-DEVS data housed on the RESTful Interoperable Simulation Environment (RISE) into a distributed simulation. As an example, it presents the design and implementation of a web-based thin client as a mash-up of services between the RISE service and the distributed simulation. The proposed web-based client technique takes advantage of web service technologies in order to execute complex Cell-DEVS models within a distributed environment. In addition, the technique exposes distributed simulations to other simulation types beyond the Cell-DEVS discrete event models. The web-based client technique depends on the network connectivity but relies on the HTML5 WebSocket for providing full-duplex communications over a single Transport Control Protocol (TCP) connection to the distributed simulation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.874
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.106
GPT teacher head0.449
Teacher spread0.343 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicSimulation Techniques and ApplicationsFrench-language works237,207