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    <responseDate>2026-10-10T10:00:38Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/nfj6ssgh3w.2</identifier>
                <datestamp>2026-09-16T10:42:18Z</datestamp>
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    <dc:creator id="https://orcid.org/0000-0003-1750-0880">Kim, Chesoong</dc:creator>
    <dc:title>Multi-Timescale Edge–Cloud Control under Correlated Batch Demand and Endogenous Degradation: Structural Analysis and Approximate Optimization</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset provides the reproducibility data, manuscript source, publication figures, and verification code supporting the manuscript “Multi-Timescale Edge–Cloud Control under Correlated Batch Demand and Endogenous Degradation: Structural Analysis and Approximate Optimization.” The archive contains the V1.19 LaTeX source, bibliography, reference PDF, 12 frozen CSV ledgers, 11 vector figure files, editable TikZ source for the state-feedback system diagram, Python source code, pinned environment information, SHA-256 checksums, and automated verification scripts. The computational materials cover the equal-mean Poisson, MMPP, and BMAP comparisons; the structural-regime map; the verified batch-size-triggered edge-admission instance; the correlation-induced policy-persistence campaign; the approximation-architecture and algorithmic ablations; the hysteresis analysis; and the state-space and formulation-size audit. The core reproduction script independently regenerates the equal-mean, structural-regime, and N = 20, 40, and 80 scaling campaigns in a separate output directory without overwriting the archived results. Additional frozen ledgers support manuscript-to-data verification of the BTEA, CIPP, approximation-architecture, algorithm-ablation, hysteresis, and extended-scaling results. Automated checks recompute and validate all 156 manuscript-facing numerical claims, verify the integrity of every archived file, regenerate Figures 2–11, and independently reproduce the Appendix A marginal-balance identity with an absolute residual of approximately 3.567 × 10⁻¹². The numerical experiments use analytically specified stochastic models and synthetic data; no confidential, personal, or proprietary data are included. Version 2 synchronizes the repository with manuscript V1.19, including the revised Figure 1 and final prose refinements, while preserving the previously audited mathematical model and numerical core. Detailed installation, execution, verification, and manuscript-compilation instructions are provided in README_V1_19.md.

</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Engineering</dc:subject>
    <dc:subject>Mathematics</dc:subject>
    <dc:subject>Operations Research</dc:subject>
    <dc:subject>Decision Science</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/nfj6ssgh3w.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/nfj6ssgh3w.2</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/nfj6ssgh3w</dc:relation>
    <dc:date>2026-09-16T10:42:18Z</dc:date>
</oai_dc:dc></metadata>
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