Dynamic Load System Identification Dataset for the Solana Containerised Testbed v0.8.0

This dataset contains controlled dynamic-load system-identification experiments for the Solana Containerised Testbed v0.8.0. The dataset supports initial throughput-channel system identification for the relation: u_cmd(t) -> u_ach(t) where u_cmd(t) is the commanded transaction load and u_ach(t) is the achieved throughput. The dataset includes five completed experiment classes: M0: steady-state baselines;M1: upward step-response experiments;M2: step-down and recovery experiments;M3: multi-step load profiles;M4: stepwise sine-approximation / initial frequency-response experiment. The confirmed safe identification range is: lambda = 32..128 The dataset includes raw CSV telemetry, commanded and applied load profiles, per-run summaries, Kubernetes Job and Pod captures, preflight reports, aggregate dynamic-identification summaries, an M4 sine-response derived time series, artefact inventory, and SHA-256 checksums. The aggregate v0.8.0 dynamic-identification summary reports that all M0-M4 experiment classes completed successfully, observed err_per_sec remained zero, throughput tracking was close to unity gain, step-like transitions settled within approximately one 5-second sample interval, and the M4 sine-approximation run showed near-unity low-frequency gain and high correlation between commanded and achieved throughput. The dataset is intended for throughput-channel modelling and initial transfer-function/PID/MPC research preparation. It is not yet sufficient for latency-constrained MPC because lat_p99 is missing in the current collect_csv outputs. Files: solana-containerised-testbed-v0.8.0-dynamic-id-dataset.tar.gzsolana-containerised-testbed-v0.8.0-dynamic-id-dataset.tar.gz.sha256 Checksum: dde1ec655b974dbeafce987b8616600b30ad7623659f7714f27c757d832f1d9b Related software: Solana Containerised Testbed v0.8.0: Dynamic Load System IdentificationSoftware DOI: 10.5281/zenodo.20828274