QL-STCT: an intelligent routing convergence method for SDN link failure
Aiming at the problem of routing convergence when SDN link failure occurs, a Q-Learning sub-topological convergence technique (QL-STCT) was proposed to realize intelligent route convergence when SDN links fail.Firstly, some nodes were selected in the network as hub nodes and divides the hub domains...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022038/ |
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| _version_ | 1841540002732834816 |
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| author | Chuanhuang LI Yangting CHEN Jingjing TANG Jiali LOU Renhua XIE Chuntao FANG Weiming WANG Chao CHEN |
| author_facet | Chuanhuang LI Yangting CHEN Jingjing TANG Jiali LOU Renhua XIE Chuntao FANG Weiming WANG Chao CHEN |
| author_sort | Chuanhuang LI |
| collection | DOAJ |
| description | Aiming at the problem of routing convergence when SDN link failure occurs, a Q-Learning sub-topological convergence technique (QL-STCT) was proposed to realize intelligent route convergence when SDN links fail.Firstly, some nodes were selected in the network as hub nodes and divides the hub domains according to the hub nodes, and the regional features were constructed with the hub domain as the unit.Secondly, the reinforcement learning agent exploration strategy was proposed by using the features to accelerate the convergence of reinforcement learning.Finally, a sub-topology network was constructed through reinforcement learning to plan the alternate path and ensure the performance of the alternate path in the periodic window.Experimental simulation results show that the proposed method effectively improves the convergence speed and performance of the link failure network. |
| format | Article |
| id | doaj-art-f0643ae82adf4bcbbbb7297c64068714 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-f0643ae82adf4bcbbbb7297c640687142025-01-14T06:29:32ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-02-014313114259394451QL-STCT: an intelligent routing convergence method for SDN link failureChuanhuang LIYangting CHENJingjing TANGJiali LOURenhua XIEChuntao FANGWeiming WANGChao CHENAiming at the problem of routing convergence when SDN link failure occurs, a Q-Learning sub-topological convergence technique (QL-STCT) was proposed to realize intelligent route convergence when SDN links fail.Firstly, some nodes were selected in the network as hub nodes and divides the hub domains according to the hub nodes, and the regional features were constructed with the hub domain as the unit.Secondly, the reinforcement learning agent exploration strategy was proposed by using the features to accelerate the convergence of reinforcement learning.Finally, a sub-topology network was constructed through reinforcement learning to plan the alternate path and ensure the performance of the alternate path in the periodic window.Experimental simulation results show that the proposed method effectively improves the convergence speed and performance of the link failure network.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022038/software defined networklink failurereinforcement learningrouting convergence |
| spellingShingle | Chuanhuang LI Yangting CHEN Jingjing TANG Jiali LOU Renhua XIE Chuntao FANG Weiming WANG Chao CHEN QL-STCT: an intelligent routing convergence method for SDN link failure Tongxin xuebao software defined network link failure reinforcement learning routing convergence |
| title | QL-STCT: an intelligent routing convergence method for SDN link failure |
| title_full | QL-STCT: an intelligent routing convergence method for SDN link failure |
| title_fullStr | QL-STCT: an intelligent routing convergence method for SDN link failure |
| title_full_unstemmed | QL-STCT: an intelligent routing convergence method for SDN link failure |
| title_short | QL-STCT: an intelligent routing convergence method for SDN link failure |
| title_sort | ql stct an intelligent routing convergence method for sdn link failure |
| topic | software defined network link failure reinforcement learning routing convergence |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022038/ |
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