User traffic profiling in a Software Defined Networking Context

Taimur Bakhshi, Bogdan Ghita

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Traffic classification and statistical trend analysis are critical steps for workload characterization, capacity planning and network policy configuration in computer networks. Additionally application level traffic classification aids in profiling user traffic based on application usage trends. However, user traffic profiling integration in real-time network resource management remains challenging due to variation in user traffic behaviour, requiring repeated manual configuration updates in traditional fixed topology networks. Software defined networks (SDN) on the other hand, due to their centralized control and real-time programmability of network elements, may offer a potential avenue for application based user traffic profiles to effectively allocate and control network resources. In this paper we evaluate the accuracy of developing meaningful user traffic profiles from application usage trends based on traffic flow analysis using k-means clustering algorithm and explore their applicability to software defined networks for real-time traffic management. The results show a considerable variation in application usage trends and associated network statistics among user traffic profiles leading to further propose implementing per profile flow metering and re-routing of resource intensive traffic profiles via different links for effective real-time network resource management in software defined networks.
Original languageEnglish
Title of host publication2015 Internet Technologies and Applications (ITA)
Subtitle of host publicationProceedings of the Sixth International Conference (ITA 2015)
EditorsRich Picking, Stuart Cunningham, Nigel Houlden, Denise Oram, Vic Grout, Julie Myers
Place of PublicationGlyndwr University
PublisherInstitute of Electrical and Electronics Engineers
Number of pages7
ISBN (Electronic)978-1-4673-9557-1, 978-1-4799-8035-2
ISBN (Print)978-1-4799-8036-9
DOIs
Publication statusPublished - 1 Sep 2015
Externally publishedYes
Event2015 Internet Technologies and Applications - Glyndŵr University, United Kingdom
Duration: 8 Sep 201511 Sep 2015
Conference number: 6th

Publication series

Name2015 Internet Technologies and Applications (ITA)

Conference

Conference2015 Internet Technologies and Applications
Country/TerritoryUnited Kingdom
Period8/09/1511/09/15

Fingerprint

Dive into the research topics of 'User traffic profiling in a Software Defined Networking Context'. Together they form a unique fingerprint.

Cite this