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

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A novel approach for performance-based clustering and management of network traffic flows. / Al-Saadi, Muna; Ghita, Bogdan V.; Shiaeles, Stavros; Sarigiannidis, Panagiotis.

2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2019. p. 2025-2030 8766728 (2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)).

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

Harvard

Al-Saadi, M, Ghita, BV, Shiaeles, S & Sarigiannidis, P 2019, A novel approach for performance-based clustering and management of network traffic flows. in 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)., 8766728, 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC), IEEE, pp. 2025-2030, 15th IEEE International Wireless Communications and Mobile Computing Conference, Tangier, Morocco, 24/06/19. https://doi.org/10.1109/IWCMC.2019.8766728

APA

Al-Saadi, M., Ghita, B. V., Shiaeles, S., & Sarigiannidis, P. (2019). A novel approach for performance-based clustering and management of network traffic flows. In 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC) (pp. 2025-2030). [8766728] (2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)). IEEE. https://doi.org/10.1109/IWCMC.2019.8766728

Vancouver

Al-Saadi M, Ghita BV, Shiaeles S, Sarigiannidis P. A novel approach for performance-based clustering and management of network traffic flows. In 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE. 2019. p. 2025-2030. 8766728. (2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)). https://doi.org/10.1109/IWCMC.2019.8766728

Author

Al-Saadi, Muna ; Ghita, Bogdan V. ; Shiaeles, Stavros ; Sarigiannidis, Panagiotis. / A novel approach for performance-based clustering and management of network traffic flows. 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2019. pp. 2025-2030 (2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)).

Bibtex

@inproceedings{4767a1efe8bb49d8b8e5edffe96bc598,
title = "A novel approach for performance-based clustering and management of network traffic flows",
abstract = "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.",
keywords = "Clustering, Network performance, SDN, Unsupervised algorithm",
author = "Muna Al-Saadi and Ghita, {Bogdan V.} and Stavros Shiaeles and Panagiotis Sarigiannidis",
year = "2019",
month = "7",
day = "22",
doi = "10.1109/IWCMC.2019.8766728",
language = "English",
isbn = "978-1-5386-7748-3",
series = "2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)",
publisher = "IEEE",
pages = "2025--2030",
booktitle = "2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)",

}

RIS

TY - GEN

T1 - A novel approach for performance-based clustering and management of network traffic flows

AU - Al-Saadi, Muna

AU - Ghita, Bogdan V.

AU - Shiaeles, Stavros

AU - Sarigiannidis, Panagiotis

PY - 2019/7/22

Y1 - 2019/7/22

N2 - 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.

AB - 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.

KW - Clustering

KW - Network performance

KW - SDN

KW - Unsupervised algorithm

UR - http://www.scopus.com/inward/record.url?scp=85073899255&partnerID=8YFLogxK

UR - http://wikicfp.com/cfp/servlet/event.showcfp?eventid=82616&copyownerid=34223

UR - https://pearl.plymouth.ac.uk/

U2 - 10.1109/IWCMC.2019.8766728

DO - 10.1109/IWCMC.2019.8766728

M3 - Conference contribution

AN - SCOPUS:85073899255

SN - 978-1-5386-7748-3

T3 - 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)

SP - 2025

EP - 2030

BT - 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC)

PB - IEEE

ER -

ID: 16184054