Reproducibility Materials for "Prospective Completion Prediction Across Measured and a Structurally Unseen Cluster-Placement Family: Compositional State Characterization and Activation Sensitivity"
Authors/Creators
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1.
Chonnam National University
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2.
Korea Advanced Institute of Science and Technology
Description
This record provides the reproducibility materials supporting the associated manuscript, "Prospective Completion Prediction Across Measured and a Structurally Unseen Cluster-Placement Family: Compositional State Characterization and Activation Sensitivity."
The archive contains analysis code, accepted analytical records, characterization data, frozen prediction outputs, provenance and freeze metadata, numerical claim-evidence mappings, and derived artifacts required to independently verify the principal reported results.
The materials cover prospective completion-time prediction for an independent-trial distributed search workload in homogeneous Google Kubernetes Engine (GKE) clusters, including productive-capacity characterization, operational-activation characterization, characterization-burden analysis, and evaluation on a structurally unseen placement family.
File-level licensing is specified in LICENSE_MAP.tsv. Author-owned software and analysis code are released under the MIT License; author-owned research data, provenance records, and documentation are released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Reserved DOI: 10.5281/zenodo.22053884