Parameters, Symbols, and Values for EMPA-ASA Hybrid-Cloud Scheduling Algorithm

9.5 KB of tabular data containing the parameters, symbols, and values used in the EMPA-ASA hybrid-cloud resource scheduling algorithm. Zhigang Zhang published this dataset on figshare in April 2026. The algorithm, described in the accompanying research, uses a queueing model and reinforcement learning to optimize cost and QoS metrics like delay and throughput.

Use Cases

• Reproducing the EMPA-ASA scheduling algorithm based on the published parameter values
• Benchmarking new scheduling algorithms against the reported QoS metrics like end-to-end delay and packet-loss rate
• Analyzing the cost-performance trade-off in hybrid-cloud systems based on the described model
• Studying the application of M/M/c queueing models and reinforcement learning in cloud resource management

Strengths

• Dataset is openly licensed under CC-BY-4.0
• File size is 9.5 KB, indicating a concise and focused parameter set
• Associated research describes a specific algorithm that reportedly reduces total cost by approximately 48% and 70% relative to GA and PSO baselines

Limitations

• Row count is unknown, which may limit suitability assessment
• 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

Zhigang Zhang via figshare

Collection Method

Likely generated as part of research implementing the EMPA-ASA algorithm

Time Range

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Freshness

Last updated 2026-04-10 17:46:59; freshness should be verified

Geography

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