Archival bundle of the data used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021)
- 1. Scuola Normale Superiore, Italy
- 2. Scuola Superiore Sant'Anna, Italy
- 3. University of Pisa, Italy
- 4. National Research Council, Italy
Description
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}-<INCREMENTAL-ID>.log |
distwalk run log |
distwalk-{lin,mlp,rnn,stc}-<INCREMENTAL-ID>-pred.json |
Predictive metric data exported from Monasca DB |
distwalk-{lin,mlp,rnn,stc}-<INCREMENTAL-ID>-real.json |
Actual metric data exported from Monasca DB |
distwalk-{lin,mlp,rnn,stc}-<INCREMENTAL-ID>-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
Files
Files
(948.4 MB)
Name | Size | Download all |
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md5:0f1cc42212e9cd25e3d26b45f0f16232
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948.4 MB | Download |
Additional details
Related works
- Is supplement to
- Conference paper: 10.1145/3468737.3494104 (DOI)