{"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}
引用次数: 1
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.