Self-healing algorithm based on feedback mechanism
A network self-healing algorithm was presented.The proposed algorithm reduced the probability of selecting the failure or congestion paths and achieved self-healing by selecting recovery path adaptively when the nodes failure or link congestion in the network,which was based on Q-learning feedback m...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2012-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0001-09/ |
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| _version_ | 1841539932650209280 |
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| author | Ji-hong ZHAO Hua QU Wen-dong CHEN |
| author_facet | Ji-hong ZHAO Hua QU Wen-dong CHEN |
| author_sort | Ji-hong ZHAO |
| collection | DOAJ |
| description | A network self-healing algorithm was presented.The proposed algorithm reduced the probability of selecting the failure or congestion paths and achieved self-healing by selecting recovery path adaptively when the nodes failure or link congestion in the network,which was based on Q-learning feedback mechanism,multi-QoS constrained of the evaluation function and path selection strategy using Boltzmann-Gibbs distribution.Simulation results show that the proposed algorithm outperforms in the recovery rate,the diffserv-aware capability and network resource optimization. |
| format | Article |
| id | doaj-art-1a1e02ef86884cd7876331a1ea385557 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-1a1e02ef86884cd7876331a1ea3855572025-01-14T06:30:49ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-01-01331959659258Self-healing algorithm based on feedback mechanismJi-hong ZHAOHua QUWen-dong CHENA network self-healing algorithm was presented.The proposed algorithm reduced the probability of selecting the failure or congestion paths and achieved self-healing by selecting recovery path adaptively when the nodes failure or link congestion in the network,which was based on Q-learning feedback mechanism,multi-QoS constrained of the evaluation function and path selection strategy using Boltzmann-Gibbs distribution.Simulation results show that the proposed algorithm outperforms in the recovery rate,the diffserv-aware capability and network resource optimization.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0001-09/failure recoveryself-healingQ-learningmulti-QoS constraintsdiffserv-awareresource optimization |
| spellingShingle | Ji-hong ZHAO Hua QU Wen-dong CHEN Self-healing algorithm based on feedback mechanism Tongxin xuebao failure recovery self-healing Q-learning multi-QoS constraints diffserv-aware resource optimization |
| title | Self-healing algorithm based on feedback mechanism |
| title_full | Self-healing algorithm based on feedback mechanism |
| title_fullStr | Self-healing algorithm based on feedback mechanism |
| title_full_unstemmed | Self-healing algorithm based on feedback mechanism |
| title_short | Self-healing algorithm based on feedback mechanism |
| title_sort | self healing algorithm based on feedback mechanism |
| topic | failure recovery self-healing Q-learning multi-QoS constraints diffserv-aware resource optimization |
| url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0001-09/ |
| work_keys_str_mv | AT jihongzhao selfhealingalgorithmbasedonfeedbackmechanism AT huaqu selfhealingalgorithmbasedonfeedbackmechanism AT wendongchen selfhealingalgorithmbasedonfeedbackmechanism |