Towards a cognitive routing engine for software defined networks

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Title: Towards a cognitive routing engine for software defined networks
Authors: Francois, F
Gelenbe, E
Item Type: Conference Paper
Abstract: In Software Defined Networks (SDN), intensive traffic monitoring is used to optimize the Quality-of-Service (QoS) of the network paths which are selected. Thus, we introduce the use of the Cognitive Packet Network (CPN) algorithm to SDN in order to optimize the search for new high-QoS paths. We install the CPN algorithm in the Cognitive Routing Engine (CRE), a new application software for SDN, and show that with limited monitoring overhead we are able to determine the near-optimal paths for given QoS metrics that may be proposed by the end users. Measurements that we have conducted on an experimental replica of the GEANT network that our approach uses close to 10 times less monitoring data than conventional SDN, but that we are able to approach the optimal paths within 2%.
Issue Date: 22-May-2016
Date of Acceptance: 15-Jan-2016
URI: http://hdl.handle.net/10044/1/31150
DOI: http://dx.doi.org/10.1109/ICC.2016.7511138
Publisher: IEEE
Journal / Book Title: Proceedings of the 2016 IEEE International Conference on Communications (ICC)
Copyright Statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Huawei Technologies Co. Ltd
Funder's Grant Number: YB2015090005
Conference Name: 2016 IEEE International Conference on Communications (ICC)
Publication Status: Published
Start Date: 2016-03-22
Finish Date: 2016-03-23
Conference Place: Kuala Lumpur, Malaysia
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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