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sieve-microservices/scalegraph-scripts

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Scripts to analyze Timeseries

python deps for clustering:

$ sudo apt install liblapack-dev libgfortran-4.8-dev libatlas-base-dev libatlas-dev python-dev python-virtualenv pkg-config libfreetype6-dev gfortran
# for interactive graphs
$ sudo apt-get build-dep python-matplotlib
# setup direnv and then do:
$ pip install -r requirements.txt

Process after measuring stuff

  1. preprocess: $ python preprocess.py <measurement>
  2. kshape cluster + graphs: $ python cluster.py <measurement>

Granger Causility

  1. python causality.py <measurement>
  2. python depedencegraph <measurement>/*-causility.tsv

Redis Queue for distributed computing

  1. Ensure measurment directory is shared via nfs across the cluster
  2. python worker.py on each worker
  3. python submit_jobs.py <measurement> #see submit_jobs.py for details

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