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A novel approach for performance-based clustering and management of network traffic flows

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Management of network performance comprises numerous functions such as measuring, modelling, planning and optimising networks to ensure that they transmit traffic with the speed, capacity and reliability expected by the applications, each with different requirements for bandwidth and delay. Overall, the objective of this paper is to propose a novel mechanism to optimise the network resource allocation through supporting the routing of individual flows, by clustering them based on performance and integrating the respective clusters with an SDN scheme. In this paper we have employed a particular set of traffic features then applied data reduction and unsupervised machine learning techniques, to derive an Internet traffic performance-based clustering model. Finally, the resulting data clusters are integrated within a unified SDN architectural solution, which improves network management by finding nearly optimal flow routing, to be evaluated against a number of traffic data sources.

Original languageEnglish
Title of host publication2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)
PublisherIEEE
Pages2025-2030
Number of pages6
ISBN (Electronic)978-1-5386-7747-6, 978-1-5386-7746-9
ISBN (Print)978-1-5386-7748-3
DOIs
Publication statusPublished - 22 Jul 2019
Event15th IEEE International Wireless Communications and Mobile Computing Conference - Tangier, Morocco
Duration: 24 Jun 201928 Jun 2019

Publication series

Name2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)
PublisherIEEE
ISSN (Print)2376-6492
ISSN (Electronic)2376-6506

Conference

Conference15th IEEE International Wireless Communications and Mobile Computing Conference
Abbreviated titleIWCMC 2019
CountryMorocco
CityTangier
Period24/06/1928/06/19

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