Skip to main content

Queueing network simulator

Project description

Build Status Coverage Status Supported Python versions. MIT License

Queueing-tool is a package for simulating and analyzing networks. It is an event based simulator that uses queues to simulate congestion and waiting on the network that includes tools for visualizing network dynamics.

Documentation

The package documentation can be found at http://queueing-tool.readthedocs.org/.

Features

  • Fast simulation. Queueing-tool is designed to run very quickly; the core algorithms were written in cython.
  • Visualizations. There are several tools that allow you to easily view congestion and movement within your network. This includes ready made functions for animating network dynamics, while your simulations take place.
  • Full documentation. Every function and class is fully documented both online and in the docstrings.
  • Fast setup. The network is represented as a networkx graph. Queueing-tool networks allow for probabilistic routing, finite capacity queues, and different blocking protocols for analyzing loss networks.

Installation

Prerequisites: Queueing-tool runs on Python 2.7 and 3.3-3.5 and it requires networkx and numpy. If you want to plot, you will need to install matplotlib as well.

Installation: To install from PyPI use:

pip install queueing-tool

The above will automatically install networkx and numpy. If you want to install all optional packages, use:

pip install numpy matplotlib pygraphviz
pip install queueing-tool

After installation, import with something like:

import queueing_tool as qt

Bugs and issues

The issue tracker is at https://github.com/djordon/queueing-tool/issues. Please report any bugs or issue that you find there. Of course, pull requests are always welcome.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
queueing-tool-1.2.1.tar.gz (233.8 kB) Copy SHA256 hash SHA256 Source None Oct 19, 2017

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page