Performance analysis of web-based distributed simulation in DCD++: a case study across the Atlantic Ocean
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.
Bibliographic record
Abstract
This paper presents a case study of Web-based distributed simulation across the Atlantic Ocean between Canada and France. The distributed simulation engine, known as DCD++, extends the CD++ environment to expose the simulation functionalities as machineconsumable services based on the DEVS and Cell-DEVS formalisms and commonly-used Web Service technologies. DCD++ provides a platform that represents a step further towards transparent sharing of computing power, data, models, and experiments in heterogeneous environment on a global scale. Also, the simulation service can be easily integrated with other services such as visualization, network management, and geographic information services in a larger system. Experiments have been carried out to investigate simulation performance over commodity Internet connections, and major bottlenecks in the system have been identified. Based on the experimental results, we put forward several areas that warrant further research. 1.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it