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Volume 38 Issue 8
Sep.  2016
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CUI Wenyan, MENG Xiangru, YANG Huanhuan, LI Jizhen, CHEN Tianping, KANG Qiaoyan. Link Failure Recovery Algorithm Based on Multiple Backup Paths with QoS Constraint[J]. Journal of Electronics & Information Technology, 2016, 38(8): 1850-1857. doi: 10.11999/JEIT151230
Citation: CUI Wenyan, MENG Xiangru, YANG Huanhuan, LI Jizhen, CHEN Tianping, KANG Qiaoyan. Link Failure Recovery Algorithm Based on Multiple Backup Paths with QoS Constraint[J]. Journal of Electronics & Information Technology, 2016, 38(8): 1850-1857. doi: 10.11999/JEIT151230

Link Failure Recovery Algorithm Based on Multiple Backup Paths with QoS Constraint

doi: 10.11999/JEIT151230
Funds:

The National Natural Science Foundation of China (61201209, 61401499), Natural Science Foundation of Shaanxi Province (2013JQ8013, 2015JM6340)

  • Received Date: 2015-11-03
  • Rev Recd Date: 2016-03-03
  • Publish Date: 2016-08-19
  • Recovery of link failure is not only the issue of selecting a connected backup path, but the QoS requirement in the process of failure recovery of the network service should be also taken into account. The probabilistically correlated failure model and rerouting traffic disruption optimization target are built based on multiple backup paths strategy. Furthermore, a mathematical model of the failure recovery problem is modeled, which takes the minimum rerouting traffic disruption as the target and the QoS requirement as the constrain, and a link failure recovery algorithm based on multiple backup paths with QoS constrain is proposed. The proposed algorithm takes reducing rerouting traffic disruption farthest as the target and adopts the improved k shortest path algorithm with QoS constrain to splice the single backup path, and it gives the links more protection resource with high priority. Moreover, the correctness of the proposed algorithm is proved, and the time complex and the space complex are computed. The simulation results under NS2 show that the proposed algorithm significantly improves link failure recovery rate and the QoS satisfaction rate of the rerouting traffic, and it performs better when the QoS constrain is stronger.
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