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Data · dataset · 2026

Exact Offered-Job Analysis of Hysteretic O-Cloud Autoscaling under Correlated Multiclass Radio Demand

Listed in Teesside University Research Data Repository

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.

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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.

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Catalogue records · 1

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Inferred from text
Simulation 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/mh2722mnkm.217 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:field:460601mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Cloud Computing']
concepts[field].anzsrc:field:490108mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Operations Research']
concepts[field].anzsrc:group:4901mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Applied Mathematics']
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concepts[method].local:method:simulationenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
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