Metadata-Version: 1.1
Name: fnss
Version: 0.6.1
Summary: Fast creation and configuration of topologies, traffic matrices and event schedules for network experiments
Home-page: http://fnss.github.io/
Author: Lorenzo Saino, Cosmin Cocora
Author-email: fnss.dev@gmail.com
License: BSD license
Download-URL: http://fnss.github.io/
Description: The Fast Network Simulation Setup (FNSS) core library is
        a Python library providing a set of features allowing network researchers and
        engineers to simplify the setup of a network experiment.
        
        These features include the ability to:
        
        * Parse a topology from a dataset, a topology generator or generate it
          according to a number of synthetic models.
        * Apply link capacities, link weights, link delays and buffer sizes.
        * Deploy protocol stacks and applications on network nodes.
        * Generate traffic matrices.
        * Generate event schedules.
        
        The core library allows users to export the generated scenarios (topologies,
        traffic matrices and event schedules) to ns-2, Mininet or AutoNetKit.
        
        It also allows to save scenarios in XML files, which can be later imported
        by the FNSS Java, C++ and ns-3 libraries.
        
Keywords: network,simulation,topology,traffic matrix,link capacity,delay,protocol stack
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Telecommunications Industry
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering
Requires: networkx (>=1.6)
Requires: numpy (>=1.4)
Requires: mako (>=0.4)
