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.
Whether it is fixing bugs, improving documentation or adding new features, please check out our contribution guidelines to see how you can help make EnOSlib better.