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Reproducibility Package for A Fairness-Aware and Volatility-Adaptive Cloud Resource Allocation Architecture for Sustainable E-Government Education

Year: 2026

Type: software

Abstract: Updated reproducibility release accompanying the manuscript: A Fairness-Aware and Volatility-Adaptive Cloud Resource Allocation Architecture for Sustainable E-Government Education This release contains the source code, derived datasets, experimental results, forecasting analyses, robustness analyses, FinOps analyses, and documentation associated with the manuscript. The repository does not redistribute the original OULAD raw files. Researchers should obtain OULAD from its official source and follow the applicable data-use terms. The manuscript does not claim a live Kubernetes/OpenStack deployment. The deployment section presents a pilot deployment roadmap. Cost, energy, and carbon values are model-based illustrative estimates.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22180898

Authors: Seno, Mohammed E., AL-Jumaili, Ahmed Hadi Ali, Hasan, Mohammad Kamrul, Islam, Shayla, Jassim, Sameeh Abdulghafour, Muniyandi, Ravie Chandren

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7204723253

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