A Game Model and Fault Recovery Algorithm for SDN Multi-Domain
Software-defined networking (SDN) offers an effective solution for flexible management of Wireless Sensor Networks (WSNs) by separating control logic from sensor nodes. This paper tackles the challenge of timely recovery from SDN controller failures and proposes a game theoretic model for multi-doma...
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/1/164 |
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| author | Tao Xu Chen Chen Kaiming Hu Yi Zhuang |
| author_facet | Tao Xu Chen Chen Kaiming Hu Yi Zhuang |
| author_sort | Tao Xu |
| collection | DOAJ |
| description | Software-defined networking (SDN) offers an effective solution for flexible management of Wireless Sensor Networks (WSNs) by separating control logic from sensor nodes. This paper tackles the challenge of timely recovery from SDN controller failures and proposes a game theoretic model for multi-domain controllers. A game-enhanced autonomous fault recovery algorithm for SDN controllers is proposed, which boasts fast fault recovery and low migration costs. Taking into account the remaining capacity of controllers and the transition relationships between devices, the target controller is first selected to establish a controller game domain. The issue of mapping the out-of-control switches within the controller game domain to the target controller is transformed into a linear programming problem for solution. A multi-population particle swarm optimization algorithm with repulsive interaction is employed to iteratively evolve the optimal mapping between controllers and switches. Finally, migration tasks are executed based on the optimal mapping results, and the role transition of the target controller is completed. Comparative experimental results demonstrate that, compared to existing SDN controller fault recovery algorithms, the proposed algorithm can balance the migration cost of switches and the load pressure on controllers while reducing propagation delay in SDN controllers, significantly decreasing the fault recovery time. |
| format | Article |
| id | doaj-art-5524d051d32b45c9a6054699d440179f |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-5524d051d32b45c9a6054699d440179f2025-01-10T13:21:05ZengMDPI AGSensors1424-82202024-12-0125116410.3390/s25010164A Game Model and Fault Recovery Algorithm for SDN Multi-DomainTao Xu0Chen Chen1Kaiming Hu2Yi Zhuang3The College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaThe College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaThe College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaThe College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaSoftware-defined networking (SDN) offers an effective solution for flexible management of Wireless Sensor Networks (WSNs) by separating control logic from sensor nodes. This paper tackles the challenge of timely recovery from SDN controller failures and proposes a game theoretic model for multi-domain controllers. A game-enhanced autonomous fault recovery algorithm for SDN controllers is proposed, which boasts fast fault recovery and low migration costs. Taking into account the remaining capacity of controllers and the transition relationships between devices, the target controller is first selected to establish a controller game domain. The issue of mapping the out-of-control switches within the controller game domain to the target controller is transformed into a linear programming problem for solution. A multi-population particle swarm optimization algorithm with repulsive interaction is employed to iteratively evolve the optimal mapping between controllers and switches. Finally, migration tasks are executed based on the optimal mapping results, and the role transition of the target controller is completed. Comparative experimental results demonstrate that, compared to existing SDN controller fault recovery algorithms, the proposed algorithm can balance the migration cost of switches and the load pressure on controllers while reducing propagation delay in SDN controllers, significantly decreasing the fault recovery time.https://www.mdpi.com/1424-8220/25/1/164fault recoverysoftware-defined network (SDN)game domain |
| spellingShingle | Tao Xu Chen Chen Kaiming Hu Yi Zhuang A Game Model and Fault Recovery Algorithm for SDN Multi-Domain Sensors fault recovery software-defined network (SDN) game domain |
| title | A Game Model and Fault Recovery Algorithm for SDN Multi-Domain |
| title_full | A Game Model and Fault Recovery Algorithm for SDN Multi-Domain |
| title_fullStr | A Game Model and Fault Recovery Algorithm for SDN Multi-Domain |
| title_full_unstemmed | A Game Model and Fault Recovery Algorithm for SDN Multi-Domain |
| title_short | A Game Model and Fault Recovery Algorithm for SDN Multi-Domain |
| title_sort | game model and fault recovery algorithm for sdn multi domain |
| topic | fault recovery software-defined network (SDN) game domain |
| url | https://www.mdpi.com/1424-8220/25/1/164 |
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