Archival bundle of the data used for "A 2-phase Strategy For Intelligent Cloud Operations"

This archive contains the data used for the paper <strong>A 2-phase Strategy For Intelligent Cloud Operations</strong><br> Giacomo Lanciano*, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella Follow the instructions provided in the companion repo to automatically download and decompress the archive. The following files are included: <strong>File</strong> <strong>Description</strong> amphora-x64-haproxy.qcow2 Image used to create Octavia amphorae distwalk-{fault,stress}-&lt;INCREMENTAL-ID&gt;.csv distwalk run data, used to train corrective actions classifier distwalk-{fault,stress}-&lt;INCREMENTAL-ID&gt;.log distwalk run log distwalk-{fault,stress}-&lt;INCREMENTAL-ID&gt;-real.json Metric data exported from Monasca DB distwalk-{fault,stress}-&lt;INCREMENTAL-ID&gt;-times.csv Client-side response time for each request sent during a run model_dumps/* Dumps of the models used for the validation train_super_steep_behavior.csv Dataset used to train the anomaly detection model test_load_*.dat distwalk load trace test_stress_*.dat Traces used to inject anomalies during distwalk runs ubuntu-20.04-min-distwalk-4ca3b54.img Image used to create Nova instances for the scaling group * <em>contact author</em>