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Volume 45 Issue 10
Oct.  2023
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Article Contents
LIU Huanlin, ZHANG Jianjian, CHEN Yong, WANG Zhanpeng, CHEN Haonan, QIU Yan, HUO Xingji. A Time-varying Traffic Sharing Protection Based on Spectrum Window Sliding in Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3694-3701. doi: 10.11999/JEIT221406
Citation: LIU Huanlin, ZHANG Jianjian, CHEN Yong, WANG Zhanpeng, CHEN Haonan, QIU Yan, HUO Xingji. A Time-varying Traffic Sharing Protection Based on Spectrum Window Sliding in Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3694-3701. doi: 10.11999/JEIT221406

A Time-varying Traffic Sharing Protection Based on Spectrum Window Sliding in Elastic Optical Networks

doi: 10.11999/JEIT221406
Funds:  The National Natural Science Foundation of China (51977021, 61275077), The Science Foundation Project of Chongqing Science and Technology Commission (cstc2020jcyj-msxmX0682)
  • Received Date: 2022-11-08
  • Rev Recd Date: 2023-02-07
  • Available Online: 2023-02-11
  • Publish Date: 2023-10-31
  • Considering the problems of high spectrum resource consumption and high traffic blocking probability during the time-varying traffic’s survivability transmission in Elastic Optical Networks(EONs), a Time-varying Traffic Shared Protection method based on Spectrum Window Sliding (TTSP-SWS) is proposed in this paper. In TTSP-SWS, the protection lightpath with the minimum cost including the load weight of available spectrum block and the sharing degree of protected spectrum block is selected as the protection lightpath for time-varying traffic. By sliding the spectrum window on the protection path, the spectrum window with high sharing degree is allocated to time-varying traffic. When the required bandwidth of time-varying traffic changes, a spectrum window sliding-based survivable spectrum expansion or compressed strategy is adopted to adjust the allocated bandwidth. Simulation results show that TTSP-SWS can reduce traffic blocking ratio and protection resources’ redundancy.
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