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Orqal for [ORQ]chestration of [AL]gorithms is a simple batch scheduler for docker cluster which can be used remotly and without overhead in scientific experiment.

📐 Design

Overview

Orqal claim to be and stay as simple as possible.

  • We use the docker api to manage docker nodes, which means that there is no configuration on node except open the api port.
  • HTTP/REST API enable to schedule jobs and retrieve data.
  • A dashboard is provided to monitor load average per nodes, jobs scheduling and redoc api.

Wrapper

The glue between docker image and orqal need to be implemented in python with the ArbstractWorker class in order to :

  • get command to execute
  • set the result if necessary

Here is a simple example using radare2

class Rabin2(AbstractWorker):
    docker_url = "radare/radare2"
    volumes = {'/database': {'bind': '/database', 'mode': 'ro'}}
    threads = 1
    memory_in_gb = 1
	
    def get_cmd(self, params):
        return "rabin2 -I %s" % self.job.input
	
    def set_result(self, job):
        r = {l.split()[0].replace('.', '_'): l.split()[1] for l in job.stdout if len(l.split()) == 2}
        job.set_result(r)

Install

A docker-compose file can be used as receipe to install it.

⚠️ work in progress  

Run

1 - Web process

gunicorn app:app --bind 0.0.0.0:5001 --worker-class aiohttp.GunicornWebWorker  --workers 8

2 - Worker

python3 worker.py

Compile Client

   python setup.py bdist
   python3 setup.py sdist
   twine upload dist/*

Licence

GNU AFFERO GENERAL PUBLIC LICENSE https://www.gnu.org/licenses/agpl-3.0.txt

Credits

How to open api port on docker:

Add in file /etc/systemd/system/docker.service.d/override.conf

[Service]
ExecStart=
ExecStart=/usr/bin/docker daemon -H fd://  -H tcp://0.0.0.0:2376 -s overlay --insecure-registry orqal:5000

Then flush changes by executing :

systemctl daemon-reload

verify that the configuration has been loaded:

systemctl show --property=ExecStart docker

restart docker:

systemctl restart docker