Execo On G5K: Difference between revisions
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It offers: | It offers: | ||
* Asynchronous control of local and remote commands. | * Asynchronous control of local and remote commands. | ||
* Efficient and scalable execution (transparent usage of [[TakTuk]]). | * Efficient and scalable execution (transparent usage of [[Using TakTuk|TakTuk]]). | ||
* Interaction with Grid'5000 resources (planning, submission, deployment, API). | * Interaction with Grid'5000 resources (planning, submission, deployment, API). | ||
* Tools for rapid development of reproducible experiments. | * Tools for rapid development of reproducible experiments. | ||
Revision as of 11:56, 17 April 2019
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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. You can have a look at the following presentation:
It offers:
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Installation
Connect on a frontend and use easy_install:
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frontend:
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easy_install --user execo |
Optionaly create a file name .execo.conf.py in your home directory if you need some specific configuration
Usage
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), see the execo g5k section of the user guide.
Automating experiments
Execo offers an engine that allows to automatize experiments. An example measuring TCP congestion on Grid'5000 can be found here
Documentation
A complete user guide is available here. You may also want to have a look at API reference. A grid5000 tutorial is available: Execo Practical Session