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.
Read the rest (1 more)
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.
Links
Where it is published
- DOI doi.org/10.17632/mh2722mnkm.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Applied mathematics · Cloud computing · Computer Science & AI · Earth & Environmental Science · Mathematics & Statistics · Operations research
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/mh2722mnkm.2 | 17 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460601 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Cloud Computing'] |
| concepts[field].anzsrc:field:490108 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Operations Research'] |
| concepts[field].anzsrc:group:4901 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Applied Mathematics'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |