Cellular Inference Mesh: Salabim DES of edge-cloud LLM inference under PACELC saturation
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2026
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| _version_ | 1866901616329752576 |
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| author | Flores, Carlos Ulisses |
| author_facet | Flores, Carlos Ulisses |
| contents | Discrete-event simulation in Salabim of the Cellular Inference Mesh edge-cloud architecture for industrial multilingual AGV voice command processing under PACELC. Implements 300 Monte-Carlo replicates over 3 scenarios and 2 arms for 1800 simulated seconds, with parametric variation per replicate over realistic operational ranges. Verifies the Pareto-Efficiency Theorem (over 5 axes against 256 sub-compositions and 7 external architectures) and articulates the Saturated Pipeline Conjecture, which explains the structural insensitivity of percentile-99 latency to fallback-rate reductions under edge saturation. Reproducibility guaranteed via SHA-256 hash chain, seed_canonical=42, 53 pytest tests with bit-parity. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20109260 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Cellular Inference Mesh: Salabim DES of edge-cloud LLM inference under PACELC saturation Flores, Carlos Ulisses cellular inference mesh saturated pipeline conjecture PACELC edge-cloud LLM serving speculative decoding multilingual AGV LLMOps Mobile Edge Intelligence salabim discrete-event simulation FAIR research software reproducibility Discrete-event simulation in Salabim of the Cellular Inference Mesh edge-cloud architecture for industrial multilingual AGV voice command processing under PACELC. Implements 300 Monte-Carlo replicates over 3 scenarios and 2 arms for 1800 simulated seconds, with parametric variation per replicate over realistic operational ranges. Verifies the Pareto-Efficiency Theorem (over 5 axes against 256 sub-compositions and 7 external architectures) and articulates the Saturated Pipeline Conjecture, which explains the structural insensitivity of percentile-99 latency to fallback-rate reductions under edge saturation. Reproducibility guaranteed via SHA-256 hash chain, seed_canonical=42, 53 pytest tests with bit-parity. |
| title | Cellular Inference Mesh: Salabim DES of edge-cloud LLM inference under PACELC saturation |
| topic | cellular inference mesh saturated pipeline conjecture PACELC edge-cloud LLM serving speculative decoding multilingual AGV LLMOps Mobile Edge Intelligence salabim discrete-event simulation FAIR research software reproducibility |
| url | https://doi.org/10.5281/zenodo.20109260 |