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Self-Adaptive Decentralized Monitoring in Software-Defined Networks

Tangari, G; Tuncer, D; Charalambides, M; Qi, Y; Pavlou, G; (2018) Self-Adaptive Decentralized Monitoring in Software-Defined Networks. IEEE Transactions on Network and Service Management , 15 (4) pp. 1277-1291. 10.1109/TNSM.2018.2874813. 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 SDNbased management architectures, it is of paramount importance to design a monitoring system that can provide timely and consistent updates to heterogeneous management applications. To support such applications operating with low latency requirements, the monitoring system should scale with increasing network size and provide precise network views with minimum overhead on the available resources. In this paper we present a novel, self-adaptive, decentralized framework for resource monitoring in SDN. Our framework enables accurate statistics to be collected with limited burden on the network resources. This is realized through a self-tuning, adaptive monitoring mechanism that automatically adjusts its settings based on the traffic dynamics. We evaluate our proposal based on a realistic use case scenario, where a content distribution service and an on-demand gaming platform are deployed within an ISP network. The results show that reduced monitoring latencies are obtained with the proposed framework, thus enabling shorter reconfiguration control loops. In addition, the proposed adaptive monitoring method achieves significant gain in terms of monitoring overhead, while preserving the performance of the services considered.

Type: Article
Title: Self-Adaptive Decentralized Monitoring in Software-Defined Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TNSM.2018.2874813
Publisher version: https://doi.org/10.1109/TNSM.2018.2874813
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: Monitoring, Switches, Hardware, Synchronization, Resource management, Task analysis,Frequency measurement, Network monitoring, Software-Defined Networks, Self-adaptation.
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/10060070
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