Giter VIP home page Giter VIP logo

rodricfanou / african_route-collectors_data_analyzer-arda Goto Github PK

View Code? Open in Web Editor NEW
2.0 6.0 1.0 666 KB

This repository contains the codes used to build the African Route-Collectors Data Analyzer (ARDA v1.0) :

Home Page: https://arda.af-ix.net

License: GNU General Public License v3.0

Python 68.29% Shell 0.22% PHP 31.50%
arda ixps africa route-collectors pch-data routeviews-data peering growth data-analysis internet-growth

african_route-collectors_data_analyzer-arda's Introduction

African_Route-collectors_Data_Analyzer-ARDA

This repository contains the codes used to build the open-source and publicly available application: African Route-Collectors Data Analyzer (ARDA): https://arda.af-ix.net. The ARDA is the fruit of a 2,5 years collaboration with UC3M-ISOC from December 2015, aiming at building an open-source platform able to support the growth of IXPs within a region, in this case, applied to the Internet frontier: AfriNIC Region. The codes released ARDA 1.0 were written by the authors of their commits : Rodérick Fanou (Architecture design, data collection and Computation modules) and Victor Sanchez-Agüero (Architecture design, Data Collection and Visualization modules). These codes were implementing ideas largely discussed by the members of the ISOC-UC3M-IMDEA team composed of: Rodérick Fanou, Victor Sanchez Aguero, Francisco Valera, Michuki Mwangi, Jane Coffin. Note the scripts are also split into two Virtual Machines (VMs) for delivering the results to the end-users in nearly real-time: the Computation and the Visualization VMs.

A.R.D.A. is an open-source web application, which offers unique views of the current status of interconnection and traffic exchange in the African region and its evolution from 2005. A.R.D.A makes use of data collected from all PCH and RouteViews collectors deployed at existing African IXPs. The computed and displayed statistics are classified into 3 views:

  1. The IXP View where we provide several statistics per IXP
  2. The National View where we display statistics per set of IXPs in the same country
  3. The Regional View where we plot statistics computed based on the data from all IXPs in the region

The application has been launched on April 21, 2017. It can be replicated for/extended to any Internet region for profiling the IXPs in that region and monitoring their growth: this depends on how it is configured by its administrator.

As a first step to install it, please download and install these packages:

  • automake-1.6.1
  • bgp
  • bgpatools-0.2
  • dateutil-master
  • install_bgpdump
  • libbgpdump-1.4.99.11
  • libev-4.15
  • mysql++-3.2.2
  • netaddr-0.7.10
  • Ocelot-master
  • pycountry-1.20
  • python-cymru-services-master

Acknowledgements: This work was partially supported by the Internet Society (ISOC). During ARDA's implementation, technical support have also been provided by Nishal Goburdhan, Dibya Khatiwada, the JINX technical team, and the Af-IX.

african_route-collectors_data_analyzer-arda's People

Stargazers

 avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar

Forkers

logonmy

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.