Cloud Computing Resource Management Data for Carbon-Aware Scheduling

A collection of cloud computing operational records for research in sustainable resource management. The dataset was authored by Kalaiselvi S and last updated on May 29, 2026. It is 32.1 MB in size and is provided in CSV format under a CC-BY-4.0 license.

Use Cases

• Developing forecasting models for cloud energy consumption based on workload demand and resource utilization.
• Evaluating optimization algorithms for carbon-aware workload scheduling based on carbon emission indicators and renewable energy participation.
• Benchmarking machine learning models for intelligent resource allocation based on network performance and workload execution behavior.

Strengths

• Dataset is 32.1 MB in size, indicating a substantial volume of operational records.
• Explicitly licensed under CC-BY-4.0, allowing for broad reuse and modification.
• Description details a multi-faceted scope covering workload, energy, carbon, and performance factors.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-29 09:01:35; freshness should be verified.