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Decentralized monitoring for large-scale Software-Defined Networks

Tangari, G; Tuncer, D; Charalambides, M; Pavlou, G; (2017) Decentralized monitoring for large-scale Software-Defined Networks. In: Prosper, Chemouil and Edmundo, Monteiro, (eds.) Proceedings of IFIP/IEEE International Symposium on Integrated Network Management - 2017. (pp. pp. 289-297). IEEE: Lisbon, Portugal. Green open access

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Abstract

The Software-Defined Networking (SDN) paradigm can allow network management solutions to automatically and frequently reconfigure network resources. When developing SDN-based management architectures, it is of paramount importance to design a monitoring system that can provide frequent and consistent updates to heterogeneous management applications. For the monitoring functionality to scale according to the requirements of large-scale networks a distributed monitoring approach is required. In this paper we present a decentralized approach for resource monitoring in SDN, which is designed to support a wide range of measurement tasks and requirements in terms of monitoring rates and information granularity levels. Our solution leverages effective processing of the monitoring requests to reduce the consumption of limited resources, such as the control plane bandwidth of OpenFlow switches. To demonstrate the benefits of the proposed approach, our evaluation is based on a realistic and demanding use case, where a distributed management application coordinates a content distribution service in an ISP network.

Type: Proceedings paper
Title: Decentralized monitoring for large-scale Software-Defined Networks
Event: IFIP/IEEE International Symposium on Integrated Network Management
ISBN-13: 9783901882890
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/INM.2017.7987291
Publisher version: http://doi.org/10.23919/INM.2017.7987291
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Instruction sets, Monitoring, Irrigation, Limiting, Network topology, Topology, Velocity measurement
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10044487
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