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OpenFOAM Cloud backend application

Project description

Installing from GitHub

Clone the repository

git clone

Install required Python packages

pip install -r requirements.txt

Installing via pip

pip install openfoam-cloud


Install the following required packages

  • capstan
  • snap
  • grafana: sudo apt-get install grafana
  • influxdb: sudo apt-get install influxdb

Copy local settings

cp ofcloud/ofcloud/{.example,}

Edit local settings to reflect your environment. Where you see os.environ[‘ENV_VARIABLE_NAME’] you have to export the desired value to your environment.


S3_ACCESS_KEY_ID        = os.environ['S3_ACCESS_KEY_ID']
S3_HOST                 = 's3-host'
S3_PORT                 = 8443

SNAP_SERVICE            = 'snap-api-root'
INFLUX_DB_HOST          = 'influxdb-host'
INFLUX_DB_PORT          = 8086
INFLUX_DB_NAME          = 'snap'
INFLUX_DB_USER          = 'root'
INFLUX_DB_PASS          = 'root'

# Dedicated openfoam network settings
OPENFOAM_NETWORK_CIDR = 'your desired network CIDR'
OPENFOAM_NETWORK_ALLOCATION_POOL_START = 'your IP allocation range start'
OPENFOAM_NETWORK_ALLOCATION_POOL_END = 'your IP allocation range end'
OPENFOAM_NETWORK_GATEWAY_IP = 'your gateway IP usually the first IP in CIDR range'

# Scheduler daemon settings
SCHEDULER_REFRESH_INTERVAL_SECONDS = 'desired scheduler daemon refresh interval in seconds'

# OpenFOAM simulations save their results on a NFS server as is evident from the NFS_IP setting. The
# LOCAL_NFS_MOUNT_LOCATION setting tells the scheduler daemon where to prepare simulation case files, capstan package etc.
# This folder should have the NFS location mounted (example /mnt/OpenFOAM_results) except when the scheduler runs on
# the NFS machine itself, then this can point directly to the exported directory (for instance '/export/OpenFOAM_results/')
LOCAL_NFS_MOUNT_LOCATION = 'path to folder with mounted NFS location'

# Network file storage server ip address
NFS_IP = 'nfs server ip'

# Location on the NFS server where OpenFOAM case files and results will be saved
NFS_SERVER_MOUNT_FOLDER = 'location on the nfs server, where simulation case files and results are saved'

# Maximum number of launch retries of one instance. When this limit is reached, the simulation instance enters the
# 'FAILED' state

# Overrides the number of maximum NOVA vcpu's used. Example: openstack allows use of maximum 24 vcpus. Our setting
# allows only 12. The scheduler_deamon will run new simulations until 12 vcpu's are used on nova.
# If this setting value is higher than nova's max VCPU quota, the latter will be respected.

# Overrides the number of maximum NOVA instances used. Example: openstack allows use of 10 instances. Our setting
# allows only 5. The scheduler_deamon will run new simulations until 5 oinstances are used on nova.
# If this setting value is higher than nova's max instance quota, the latter will be respected.


Ensure snap, influxdb and grafana are running. Define a datasource for influxdb in grafana.

  • snap: /opt/snap/bin/snapd -t 0 -a /opt/snap/plugin
  • influxdb: /etc/init.d/influxdb start
  • grafana: /etc/init.d/grafana-server start

Then launch the OpenFOAM backend

python runserver

Next launch the OpenFOAM scheduler daemon

python runscheduler


This project has been conducted within the RIA MIKELANGELO project (no. 645402), started in January 2015, and co-funded by the European Commission under the H2020-ICT- 07-2014: Advanced Cloud Infrastructures and Services programme.

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