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Identifier |
uch.csd.msc//2007antoniades |
Title |
Appmon: An Application for Accurate Per-Application Network Traffic Classification |
Alternative Title |
Appmon: Μια Εφαρμογή για τη Ακριβή Ταξινόμηση της Κυκλοφορίας του δικτύου ανά-Εφαρμογή |
Author
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Αντωνιάδης, Δημήτρης
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Thesis advisor
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Μαρκάτος, Ευάγγελος
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Abstract |
ccurate per-application network traffic characterization is becoming increasingly difficult in the face of emerging applications that use dynamically negotiated port numbers. At the same time, information about the contribution of different network applications and services to the traffic mix is highly demanded by network administrators for facilitating effective network management and traffic engineering.
In this thesis we present /appmon/, a passive monitoring application for perapplication network traffic classification. /Appmon /uses deep packet inspection to accurately attribute traffic flows to the applications that generate them, and reports in real time the network traffic breakdown through a Web-based GUI. /Appmon// /manages to classify traffic up to Gigabit speeds and shows a steady performance when monitoring a real network environment. /Appmon /is easy to configure and deploy, and is publicly available as an open source application.
Using /appmon /deployed sensors we were able to collect a large amount of traffic data. We present the results extracted from the analysis of data collected from the academic networks of three different countries and try to understand the trends in real world networks.
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Language |
English |
Issue date |
2007-12-07 |
Collection
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School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
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Type of Work--Post-graduate theses
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Views |
467 |