Towards the design of an interoperable multi-cloud distributed simulation system
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
Simulations over Cloud environments introduce additional benefits from Cloud Computing to conventional distributed simulations, including elasticity on computation resource, cost saving on investment, and convenience of service accessibility. There exist some works that attempt to apply Cloud computing on distributed simulation. However, there is one significant drawback on those works: lack of interoperability across Cloud platforms, which limits the usability and flexibility of distributed simulation over Cloud environment substantially. Thus, we propose a novel interoperable multi-Cloud distributed simulation system. This system is based on existing approaches in deploying distributed simulation systems over the Cloud environment. Our proposed system integrates Cloud computing to conventional distributed simulations, addressing the interoperability issues of distributed simulation on Cloud environments and enhancing the capability of traditional HLA-based simulations.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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