{"title":"弹性光网络中的多智能体深度增强虚拟网络嵌入","authors":"Gong Li, Chao Xi, Ruijie Zhu","doi":"10.1109/ICOCN55511.2022.9900943","DOIUrl":null,"url":null,"abstract":"We propose a multi-agent deep reinforced virtual network embedding algorithm (MADRVNE). Simulation results demonstrate that the MADRVNE algorithm outperforms the other three algorithms in terms of average resource utilization and acceptance rate.","PeriodicalId":350271,"journal":{"name":"2022 20th International Conference on Optical Communications and Networks (ICOCN)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-Agent Deep Reinforced Virtual Network Embedding in Elastic Optical Networks\",\"authors\":\"Gong Li, Chao Xi, Ruijie Zhu\",\"doi\":\"10.1109/ICOCN55511.2022.9900943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a multi-agent deep reinforced virtual network embedding algorithm (MADRVNE). Simulation results demonstrate that the MADRVNE algorithm outperforms the other three algorithms in terms of average resource utilization and acceptance rate.\",\"PeriodicalId\":350271,\"journal\":{\"name\":\"2022 20th International Conference on Optical Communications and Networks (ICOCN)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 20th International Conference on Optical Communications and Networks (ICOCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOCN55511.2022.9900943\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 20th International Conference on Optical Communications and Networks (ICOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCN55511.2022.9900943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Agent Deep Reinforced Virtual Network Embedding in Elastic Optical Networks
We propose a multi-agent deep reinforced virtual network embedding algorithm (MADRVNE). Simulation results demonstrate that the MADRVNE algorithm outperforms the other three algorithms in terms of average resource utilization and acceptance rate.