Cloud Computing Operational Records for Carbon-Aware Resource Management

A 32.1 MB dataset of cloud computing operational records, published on figshare by Kalaiselvi S under a CC-BY-4.0 license and last updated on 2026-05-29. It captures interactions between workload demand, resource utilization, energy consumption, and carbon emission indicators for research in sustainable computing.

Use Cases

• Developing carbon-aware workload orchestration models based on carbon emission indicators and renewable energy participation data.
• Evaluating service-level agreement (SLA) optimization algorithms based on workload execution behavior and network performance data.
• Training forecasting models for energy consumption and resource utilization based on time-series operational records.
• Benchmarking intelligent resource allocation strategies based on workload demand and resource utilization interactions.

Strengths

• Dataset is 32.1 MB in size, indicating a substantial collection of records.
• Data is explicitly described as suitable for developing machine learning, deep learning, forecasting, and optimization models.
• Released under a permissive CC-BY-4.0 license, facilitating open research and redistribution.

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

Collection Method

Likely contains operational records from cloud computing environments, but the specific collection method is not detailed.

Freshness

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