E. Kartsakli, J. Pérez-Romero, O. Sallent, N. Bartzoudis, Valerio Frascella, S. Mohalik, Thiis Metsch, A. Antonopoulos, Ömer Faruk Tuna, Yansha Deng, Xin Tao, M. A. Serrano, E. Quiñones
{"title":"AI-Powered Edge Computing Evolution for Beyond 5G Communication Networks","authors":"E. Kartsakli, J. Pérez-Romero, O. Sallent, N. Bartzoudis, Valerio Frascella, S. Mohalik, Thiis Metsch, A. Antonopoulos, Ömer Faruk Tuna, Yansha Deng, Xin Tao, M. A. Serrano, E. Quiñones","doi":"10.1109/EuCNC/6GSummit58263.2023.10188371","DOIUrl":null,"url":null,"abstract":"Edge computing is a key enabling technology that is expected to play a crucial role in beyond 5G (B5G) and 6G communication networks. By bringing computation closer to where the data is generated, and leveraging Artificial Intelligence (AI) capabilities for advanced automation and orchestration, edge computing can enable a wide range of emerging applications with extreme requirements in terms of latency and computation, across multiple vertical domains. In this context, this paper first discusses the key technological challenges for the seamless integration of edge computing within B5G/6G and then presents a roadmap for the edge computing evolution, proposing a novel design approach for an open, intelligent, trustworthy, and distributed edge architecture.","PeriodicalId":65870,"journal":{"name":"公共管理高层论坛","volume":"67 1","pages":"478-483"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"公共管理高层论坛","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188371","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
Edge computing is a key enabling technology that is expected to play a crucial role in beyond 5G (B5G) and 6G communication networks. By bringing computation closer to where the data is generated, and leveraging Artificial Intelligence (AI) capabilities for advanced automation and orchestration, edge computing can enable a wide range of emerging applications with extreme requirements in terms of latency and computation, across multiple vertical domains. In this context, this paper first discusses the key technological challenges for the seamless integration of edge computing within B5G/6G and then presents a roadmap for the edge computing evolution, proposing a novel design approach for an open, intelligent, trustworthy, and distributed edge architecture.