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    <responseDate>2026-10-15T10:29:59Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/mh2722mnkm.2</identifier>
                <datestamp>2026-09-29T07:22:07Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Kim, Chesoong</dc:creator>
    <dc:title>Exact Offered-Job Analysis of Hysteretic O-Cloud Autoscaling under Correlated Multiclass Radio Demand</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset provides the reproducibility data and verification code supporting the paper “Exact Offered-Job Analysis of Hysteretic O-Cloud Autoscaling under Correlated Multiclass Radio Demand.” It contains Python source code, frozen model and campaign specifications, finite-CTMC result ledgers, Palm-conditioned tagged-process outputs, independent discrete-event simulation records, confirmatory validation results, processed public-trace records, publication figures, and automated verification scripts.

The included v117 baseline finite-boundary ledger records the Nmax = 4, 5, and 6 sensitivity calculations. Additional files support the stationary and exact tagged campaigns, the independent second-60 confirmatory DES analysis, and the trace-informed normalized robustness campaign. The six original Madrid LTE trace files are not redistributed; the source repository commit and SHA-256 hashes required to identify and verify them are documented. Processed minute-level trace records used in the study are included.

The package can be verified on a CPU-only Python environment; no GPU or radio testbed is required. The public archive excludes manuscript drafts, cover letters, author forms, portal records, and internal revision histories.
</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Telecommunication</dc:subject>
    <dc:subject>Applied Mathematics</dc:subject>
    <dc:subject>Operations Research</dc:subject>
    <dc:subject>Cloud Computing</dc:subject>
    <dc:contributor>Lee, Seokjun</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/mh2722mnkm.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/mh2722mnkm.2</dc:identifier>
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    <dc:date>2026-09-29T07:22:07Z</dc:date>
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