A library to build (distributed) systems experiments
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file enoslib-10.0.0-py3-none-any.whl
.
File metadata
- Download URL: enoslib-10.0.0-py3-none-any.whl
- Upload date:
- Size: 332.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 34e9d4b3a83744efb823475b43a40b1c9c1ce37e4d2f14eaf3b8abb5a138f84b |
|
MD5 | 324aac249bb776852eb0fb4c530d626b |
|
BLAKE2b-256 | 31daf3b496344e0ea377633ca1190f47ee95046d3c5b043f2be53628263bf8e8 |