Swift Recovery: An Innovative Routing Approach for Multi-Failure Protection in Software-Defined Networks Article Swipe
Ta Chi Hieu
,
Nattapong Kitsuwan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3487211
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3487211
This paper proposes an innovative approach to routing for multi-failure protection in Software-Defined Networks (SDN). The goal is to minimize the number of flow configurations, thereby easing the burden on network switches and enhancing overall network performance. The approach categorizes the flow entries into permanent and recovery flows and leverages both an Integer Linear Programming (ILP) method and a heuristic method to generate multiple routing trees. These trees are strategically combined to reroute traffic during link failures, providing robust network resilience. Extensive evaluations across various network topologies, ranging from small to large-scale, revealed that our approach significantly outperforms the conventional Shortest Path (SP) method. Simulation results demonstrate a remarkable reduction in the number of flow entries required for initial connection configuration by 58.83% and for routing during multiple link failures by up to 95.44%, underscoring the effectiveness of the proposed method in managing multiple link failures in SDN. To demonstrate its practical application, the proposed method was implemented on the Ryu controller and integrated into a Pica8 switch, proving its effectiveness in providing rapid recovery without requiring additional hardware.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2024.3487211
- OA Status
- gold
- Cited By
- 3
- References
- 36
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4403826811Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2024.3487211Digital Object Identifier
- Title
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Swift Recovery: An Innovative Routing Approach for Multi-Failure Protection in Software-Defined NetworksWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Ta Chi Hieu, Nattapong KitsuwanList of authors in order
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https://doi.org/10.1109/access.2024.3487211Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1109/access.2024.3487211Direct OA link when available
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Swift, Computer science, Routing (electronic design automation), Software, Reliability engineering, Computer network, Engineering, Operating system, Programming languageTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3Per-year citation counts (last 5 years)
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36Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.additional | 177 |
| abstract_inverted_index.connection | 119 |
| abstract_inverted_index.controller | 161 |
| abstract_inverted_index.innovative | 4 |
| abstract_inverted_index.integrated | 163 |
| abstract_inverted_index.protection | 10 |
| abstract_inverted_index.remarkable | 108 |
| abstract_inverted_index.Programming | 54 |
| abstract_inverted_index.categorizes | 39 |
| abstract_inverted_index.demonstrate | 106, 149 |
| abstract_inverted_index.evaluations | 82 |
| abstract_inverted_index.implemented | 157 |
| abstract_inverted_index.outperforms | 97 |
| abstract_inverted_index.resilience. | 80 |
| abstract_inverted_index.topologies, | 86 |
| abstract_inverted_index.application, | 152 |
| abstract_inverted_index.conventional | 99 |
| abstract_inverted_index.large-scale, | 91 |
| abstract_inverted_index.performance. | 36 |
| abstract_inverted_index.underscoring | 134 |
| abstract_inverted_index.configuration | 120 |
| abstract_inverted_index.effectiveness | 136, 170 |
| abstract_inverted_index.multi-failure | 9 |
| abstract_inverted_index.significantly | 96 |
| abstract_inverted_index.strategically | 69 |
| abstract_inverted_index.configurations, | 24 |
| abstract_inverted_index.Software-Defined | 12 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.84211016 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |