Energy-saving algorithm considering idle light-path prediction in SDM-EON
To effectively reduce the energy consumption,blocking rate and crosstalk between adjacent cores in a multi-core fiber for space division multiplexing elastic optical network (SDM-EON),an energy-saving algorithm considering idle light-path prediction was proposed.The extreme learning machine model wa...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019203/ |
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| author | Yu XIONG Jinyou HE Baohua WANG Bin ZHOU |
| author_facet | Yu XIONG Jinyou HE Baohua WANG Bin ZHOU |
| author_sort | Yu XIONG |
| collection | DOAJ |
| description | To effectively reduce the energy consumption,blocking rate and crosstalk between adjacent cores in a multi-core fiber for space division multiplexing elastic optical network (SDM-EON),an energy-saving algorithm considering idle light-path prediction was proposed.The extreme learning machine model was used to predict the traffic volume of each light-path in the network.Thus the idle light-path set and the maintenance time threshold of each idle light-path were obtained.Then,the actual maintenance time of the idle light-path was perceived by the prediction algorithm.Finally,in the light-paths where the actual maintenance time do not exceed the minimum maintenance time threshold and the inter-core crosstalk are lower than the crosstalk threshold,the idle light-path with the least loading energy consumption was selected to carry the new traffic.The simulation results show that compared with the traditional energy-saving algorithm,when the SDM-EON crosstalk limitation is satisfied,the proposed algorithm can lead better energy-saving while maintain the blocking rate at levels compatible. |
| format | Article |
| id | doaj-art-f35b831254054de581aff4c4786ad7d3 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-f35b831254054de581aff4c4786ad7d32025-01-14T07:17:56ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-10-014013714859730369Energy-saving algorithm considering idle light-path prediction in SDM-EONYu XIONGJinyou HEBaohua WANGBin ZHOUTo effectively reduce the energy consumption,blocking rate and crosstalk between adjacent cores in a multi-core fiber for space division multiplexing elastic optical network (SDM-EON),an energy-saving algorithm considering idle light-path prediction was proposed.The extreme learning machine model was used to predict the traffic volume of each light-path in the network.Thus the idle light-path set and the maintenance time threshold of each idle light-path were obtained.Then,the actual maintenance time of the idle light-path was perceived by the prediction algorithm.Finally,in the light-paths where the actual maintenance time do not exceed the minimum maintenance time threshold and the inter-core crosstalk are lower than the crosstalk threshold,the idle light-path with the least loading energy consumption was selected to carry the new traffic.The simulation results show that compared with the traditional energy-saving algorithm,when the SDM-EON crosstalk limitation is satisfied,the proposed algorithm can lead better energy-saving while maintain the blocking rate at levels compatible.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019203/SDM-EONidle light-path predictionextreme learning machineenergy-saving |
| spellingShingle | Yu XIONG Jinyou HE Baohua WANG Bin ZHOU Energy-saving algorithm considering idle light-path prediction in SDM-EON Tongxin xuebao SDM-EON idle light-path prediction extreme learning machine energy-saving |
| title | Energy-saving algorithm considering idle light-path prediction in SDM-EON |
| title_full | Energy-saving algorithm considering idle light-path prediction in SDM-EON |
| title_fullStr | Energy-saving algorithm considering idle light-path prediction in SDM-EON |
| title_full_unstemmed | Energy-saving algorithm considering idle light-path prediction in SDM-EON |
| title_short | Energy-saving algorithm considering idle light-path prediction in SDM-EON |
| title_sort | energy saving algorithm considering idle light path prediction in sdm eon |
| topic | SDM-EON idle light-path prediction extreme learning machine energy-saving |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019203/ |
| work_keys_str_mv | AT yuxiong energysavingalgorithmconsideringidlelightpathpredictioninsdmeon AT jinyouhe energysavingalgorithmconsideringidlelightpathpredictioninsdmeon AT baohuawang energysavingalgorithmconsideringidlelightpathpredictioninsdmeon AT binzhou energysavingalgorithmconsideringidlelightpathpredictioninsdmeon |