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1.1. Introduction

Containerization is a method to isolate computing environment (operating system, data, software, configurations, etc.) into reusable packages called images. These are binary files which can easily be transferred between different machines. Images are instantiated into running Containers by a Container Engine. From user perspective, working with the Container is similar to working with another operating system on the shared hardware resources. This resembles what Virtual Machines provide. However, there are important technical differences between Container and Virtual Machine technologies. Mainly, any number of Containers can be executed by a single Container Engine on a single operating system. In case of Virtual Machines, each runs its own operating system with its own layer of hardware abstraction. In consequence, Containers are in general quicker to start and easier to operate.

The main Containerization technology used now is Docker. It consists of image file format description, the Container Engine and other components. It is available for Linux, macOS and Windows.

1.2. Goal

The goal of IMAS Docker creation is to prepare a Docker image containing full IMAS environment with additional tools such as Kepler and FC2K.

1.3. Latest IMAS Docker image

  • IMAS version: 3.20.0
  • UAL version: 3.8.3
  • Kepler present
  • FC2K not present yet

1.4. Loading Docker image

  • To load pre-built Docker image:

    xzcat ~g2tomz/public/imas-installer-20180921112143.tar.xz | docker load

1.5. Demonstration 1: Python script

  • Start a new Docker container

    docker run --interactive --tty --name imas imas-installer

  • In the container shell, execute:

    module load imas
imasdb test
python /home/imas/imas-installer/src/$IMAS_VERSION/ual/$UAL_VERSION/examples/dd-v3/python/put_pf.py

  • On the host machine, execute:

    docker cp imas:/home/imas/public/imasdb/test/3/0/ids_120001.characteristics /tmp/
docker cp imas:/home/imas/public/imasdb/test/3/0/ids_120001.datafile /tmp/
docker cp imas:/home/imas/public/imasdb/test/3/0/ids_120001.tree /tmp/

  • Transfer the generated IDSes to the Gateway:

    scp /tmp/ids_120001.* login.eufus.eu:public/imasdb/test/3/0/

1.6. Demonstration 2: Kepler workflow

 

  • Start a new Docker container

    docker run --interactive --tty --name imas imas-installer

  • In the container shell, execute:

    module load imas kepler
module load keplerdir
imasdb test
export USER=imas
kepler -runwf -nogui -user imas /home/imas/simple-workflow.xml

  • On the host machine, execute:

    docker cp imas:/home/imas/public/imasdb/test/3/0/ids_10001.characteristics /tmp/
docker cp imas:/home/imas/public/imasdb/test/3/0/ids_10001.datafile /tmp/
docker cp imas:/home/imas/public/imasdb/test/3/0/ids_10001.tree /tmp/

  • Transfer the generated IDSes to the Gateway:

    scp /tmp/ids_10001.* login.eufus.eu:public/imasdb/test/3/0/
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