Archival bundle of the data used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021)

This archive contains the data used for the paper

Predictive Auto-scaling with OpenStack Monasca
Giacomo Lanciano*, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella
2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC)
10.1145/3468737.3494104

Follow the instructions provided in the companion repo to automatically download and decompress the archive. The following files are included:

File
Description

amphora-x64-haproxy.qcow2

Image used to create Octavia amphorae

distwalk-{lin,mlp,rnn,stc}-.log

distwalk run log

distwalk-{lin,mlp,rnn,stc}--pred.json

Predictive metric data exported from Monasca DB

distwalk-{lin,mlp,rnn,stc}--real.json

Actual metric data exported from Monasca DB

distwalk-{lin,mlp,rnn,stc}--times.csv

Client-side response time for each request sent during a run

model_dumps/*

Dumps of the models and data scalers used for the validation

predictor.log

monasca-predictor log

predictor-times.log

monasca-predictor` log (timing info only)

predictor-times-{lin,mlp,rnn}.{csv,log}

monasca-predictor log (timing info only, group by predictor)

super_steep_behavior.csv

Dataset used to train MLP and RNN models

test_behavior_02_distwalk-6t_last100.dat

distwalk load trace

ubuntu-20.04-min-distwalk.img

Image used to create Nova instances for the scaling group

* contact author