Efficient topology discovery in OpenFlow-based Software Defined Networks

Pakzad, Farzaneh, Portmann, Marius, Tan, Wee Lum and Indulska, Jadwiga (2016) Efficient topology discovery in OpenFlow-based Software Defined Networks. Computer Communications, 77 52-61. doi:10.1016/j.comcom.2015.09.013

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Author Pakzad, Farzaneh
Portmann, Marius
Tan, Wee Lum
Indulska, Jadwiga
Title Efficient topology discovery in OpenFlow-based Software Defined Networks
Journal name Computer Communications   Check publisher's open access policy
ISSN 0140-3664
Publication date 2016-03-01
Sub-type Article (original research)
DOI 10.1016/j.comcom.2015.09.013
Open Access Status File (Author Post-print)
Volume 77
Start page 52
End page 61
Total pages 10
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Subject 1705 Computer Networks and Communications
Abstract Software Defined Networking (SDN) is a new networking paradigm, with a great potential to increase network efficiency, ease the complexity of network control and management, and accelerate the rate of technology innovation. One of the core concepts of SDN is the separation of the network's control and data plane. The intelligence and the control of the network operation and management, such as routing, are removed from the forwarding elements (switches) and are concentrated in a logically centralised component, i.e. the SDN controller. In order for the controller to configure and manage the network, it needs to have up-to-date information about the state of the network, in particular its topology. Consequently, topology discovery is a critical component of any Software Defined Network architecture. In this paper, we evaluate the efficiency of the de facto standard approach to topology discovery currently implemented by the major SDN controller frameworks, and propose simple and practical modifications, which achieve a significantly improved efficiency and reduced control overhead. We have implemented our new topology discovery approach on the widely used POX controller platform, and have evaluated it for a range of network topologies via experiments using the Mininet network emulator as well as a specific topology in the OFELIA SDN testbed. Our results show that our proposed modifications achieve an up to 40% reduction in controller load compared to the current state-of-the-art approach, while delivering identical discovery functionality.
Keyword SDN
Software Defined Networks
Topology discovery
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 6 times in Scopus Article | Citations
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Created: Tue, 04 Apr 2017, 10:56:56 EST by Anthony Yeates on behalf of Learning and Research Services (UQ Library)