A library to build (distributed) systems experiments

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  • License: GNU General Public License v3 (GPLv3)
  • Author: Matthieu Simonin
  • Tags evaluation, reproducible research, Grid5000
  • Requires: Python >=3.7
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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 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.

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