Execo On G5K: Difference between revisions
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A complete user guide can be found on [http://execo.gforge.inria.fr/doc/userguide.html gforge]. | A complete user guide can be found on [http://execo.gforge.inria.fr/doc/userguide.html gforge]. | ||
===Process management=== | ===Process management=== | ||
To learn how to manage local and ssh process, have a look at [http://execo.gforge.inria.fr/doc/userguide.html | To learn how to manage local and ssh process, have a look at [http://execo.gforge.inria.fr/doc/userguide.html Process examples] | ||
===Working with G5K=== | ===Working with G5K=== |
Revision as of 11:07, 28 February 2014
Execo offers a Python API to manage processes execution. It is well
suited for quick and easy creation of reproducible experiments on
distributed hosts. It is a huge improvement over using shell script
for experiment development.
It offers:
- Asynchronous control of local and remote commands.
- Efficient and scalable execution (transparent usage of Taktuk).
- Interaction with Grid'5000 resources (planning, submission, deployment, API).
- Tools for rapid development of reproducible experiments.
Installation
Connect on a frontend and use easy_install:
Configure your path in .bashrc:
export PATH="$HOME/.local/bin${PATH:+:${PATH}}"
Create a .execo.conf.py in your home directory if you need some specific configuration
Usage
A complete user guide can be found on gforge.
Process management
To learn how to manage local and ssh process, have a look at Process examples
Working with G5K
To know how to interact with Grid'5000 infrastrucure (jobs, deployment, planning, API), click on Execo_engine
Automating experiments
Execo offers an engine that allows to automatize experiments. An example measuring TCP congestion on Grid'5000 can be found here
Documentation
Up-to-date documentation is available on User Guide.