Alawadh, Rehab, Yadav, Poonam orcid.org/0000-0003-0169-0704 and Ahmadi, Hamed orcid.org/0000-0001-5508-8757 (2024) HIFFR:Hybrid Intelligent Fast Failure Recovery Framework for Enhanced Resilience in Software Defined Networks. In: Zaidi, Syed Ali Raza, Ibrahimi, Khalil, El Kamili, Mohamed, Kobbane, Abdellatif and Aslam, Nauman, (eds.) Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024. 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024, 23-25 Jul 2024 Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024 . Institute of Electrical and Electronics Engineers Inc. , GBR
Abstract
Deploying new optimised routing policies on routers in the event of link failure is difficult due to the strong coupling between the data and control planes and the absence of topology information about the network. Because of the distributed architecture of traditional Internet protocol networks, policies and routing rules are spread in a decentralised way, resulting in looping and congestion problems. Software-defined networking (SDN) enables centralised network programmability. As a result, data plane devices just focus on packet forwarding, leaving the control plane's complexities to be managed by the controller. Thus, the controller centrally installs the policies and rules. Considering the controller's knowledge of the global network architecture, central control enhances the flexibility of link failure identification and restoration. Therefore, this paper uses SDN architecture to enhance network resilience against link failures by introducing the Hybrid Intelligent Fast Failure Recovery (HIFFR) framework, which aims to improve the speed and effectiveness of network failure recovery.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | Publisher Copyright: © 2024 IEEE. |
Keywords: | Graph Neural Network (GNN),Link Failure,Re-silience,Routing Protocols,Software-Defined Networking (SDN) |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Funding Information: | Funder Grant number EPSRC EP/X040518/1 EPSRC EP/X525856/1 EPSRC EP/Y019229/1 DEPARTMENT FOR SCIENCE, INNOVATION AND TECHNOLOGY TS/Y008952/1 |
Depositing User: | Pure (York) |
Date Deposited: | 31 May 2024 09:00 |
Last Modified: | 26 Feb 2025 21:30 |
Published Version: | https://doi.org/10.1109/WINCOM62286.2024.10657343 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Series Name: | Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024 |
Identification Number: | 10.1109/WINCOM62286.2024.10657343 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:212995 |
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