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What the ☆homoterogeneous☆ ?
Distributed systems practitioners on bare-metal testbeds know it: resources (e.g. computes, networks) on a bare-metal infrastructure may have these slight differences between each other that experimental code can become hairy. For such code, achieving practical portability (e.g changing the infrastructure parameters) is thus a tedious time consuming task.
☆Homoterogeneous☆ has been coined to express the gap between the idea we have of a computing infrastructure, where resources have static/predictable setup, and the reality of interacting with them on a daily basis.
In this context, EnOSlib smoothes the experimental code and can
- deal with various platforms (e.g. local machine, scientific testbed, virtualized environments)
- interact programmatically with different your remote resources: compute (servers, containers) and networks (ipv4, ipv6)
- deploy ready-to-use experimentation services (e.g instrumentation, observability tools).
- emulate complex network topologies (e.g for your FOG experiments)
- integrate your code with interactive development environment like Jupyter.
EnOSlib has been initially developed in the context of the Discovery initiative and is released under the GPLv3 licence. It’s a library written in Python: you are free to import it in your code and cherry-pick any of its functions.
You can install EnOSlib with pip:
pip install enoslib # If you are a Jupyter User pip install enoslib[jupyter]
For developping EnOSlib or get the in development version:
git clone https://gitlab.inria.fr/discovery/enoslib.git cd enoslib && pip install -U -e .
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