Do we need Good Quality of HIGH Speed Computer Networks ?

Dr. Adrian Pekar
BME Budapest, Hungary

Network Traffic Measurement and Analysis: Trending Topics and Development Prospects

13.30 - Slovak Time,
8.30 Louisville Time,
20.30 - Beijing Time
21.30 Tokyo Time

Abstract :
Network traffic is diverse and consists of flows from multiple sources.
Many of these traffic flows originate and terminate from different applications and services, and all have their requirements with respect to network Quality of Service (QoS) requirements (e.g., bandwidth, jitter, and delay). The quality and usability of these applications are contingent on the network fulfilling the respective QoS. To this end, traffic measurement and analysis is an indispensable tool to ensure the reliable operation of the network.

Today, traffic measurement data is used in a variety of network-related activities, including network anomaly, intrusion, and security violation detection, traffic engineering, classification, and management. The most common measurement methods are based on collecting information about network traffic at a flow level. Despite its popularity and continued research in the area, the main limitation encountered in flow measurement remains the increasing size of flow entries.

The scalability issue of traffic measurement and analysis is addressed in state-of-the-art approaches by utilizing machine learning. ML techniques can process, understand and classify complex traffic behaviours even in the case of massive data volumes.

In this presentation, first, I briefly overview the state-of-the-art of network traffic flow measurement. Then, I introduce a framework designed to make working with online and offline network data simple and intuitive. Finally, I conclude the presentation with a discussion on current trending topics and development prospects in the field of network traffic measurement and analysis.

Short Bio :

Adrián Pekár received the PhD degree in computer science from the Technical University of Košice, Slovakia, in 2014. Currently, he is an Assistant Professor with the Department of Networked Systems and Services, Budapest University of Technology and Economics, Hungary.
Prior to this, he held research, teaching, and engineering positions in New Zealand and Slovakia. His research interests include network traffic classification and management, traffic measurement data reduction and visualization, and stream processing.

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Meeting ID: 886 8558 5150
Passcode: QOS