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Biswas, Md Israfil, McClean, Sally, Morrow, Philip, Scotney, Bryan and Parr, Gerard 
ORCID: https://orcid.org/0000-0002-9365-9132
(2019)
An Efficient Rerouting Approach in Software Defined Networks.
In:
2018 10th Computer Science and Electronic Engineering Conference, CEEC 2018 - Proceedings.
The Institute of Electrical and Electronics Engineers (IEEE), GBR, pp. 148-153.
ISBN 9781538672754
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Abstract
This paper illustrates an efficient traffic rerouting solution in Software-Defined Networks (SDN) by monitoring the network status periodically. The proposed approach provides a rerouting solution by first calculating the link utilization for available paths and then rerouting the flow to the least delay path among the available paths. The traffic rerouting solution is considering the network condition to prevent the switch overutilization and congestion while any new flow arrives. The proposed method is implemented by using ONOS controller and Mininet emulator. The proposed algorithm in the controller predicts the utilization and delay on the link to calculate how much load to be rerouted if the average link utilization exceeds the threshold level. Hence, this method will proactively avoid congestion by adding flows, monitoring the parameters and prevent the unbalanced distribution after rerouting as our experimental results show.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | congestion control),network monitoring,openflow,sdn,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/2200/2208 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 08 Jul 2019 14:30 |
| Last Modified: | 10 Dec 2024 01:11 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/71655 |
| DOI: | 10.1109/CEEC.2018.8674202 |
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