F. Moscatelli, Thanos Xirofotos, Amr Rizk, Nehal Baganal-Krishna, E. Bonetto, Eirini Liotou, A. Amditis
{"title":"The 5G-IANA platform: Bringing far-edge resources and ML potential to the disposal of automotive third parties","authors":"F. Moscatelli, Thanos Xirofotos, Amr Rizk, Nehal Baganal-Krishna, E. Bonetto, Eirini Liotou, A. Amditis","doi":"10.1109/FNWF55208.2022.00118","DOIUrl":null,"url":null,"abstract":"The advent of 5G has been a game-changer in the Automotive Vertical sector. 5G acts as an enabler of advanced networking architectures which, in turn, allow the development of novel services, by attracting and engaging third parties to experiment using available 5G infrastructure and connectivity. 5G-IANA is a Horizon 2020 ICT-41 project that targets to create such an advanced open experimentation platform, bringing powerful novelty to third parties through the integration and provisioning of far-edge resources for network orchestration purposes, and through the offering of Machine Learning knowledge as an add-on service to them. The scope of this paper is, therefore, to present the 5G-IANA project overall goals, by emphasizing the most important expected innovations from the project regarding far-edge resources' orchestration and ML as a service provisioning.","PeriodicalId":300165,"journal":{"name":"2022 IEEE Future Networks World Forum (FNWF)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Future Networks World Forum (FNWF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FNWF55208.2022.00118","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
The advent of 5G has been a game-changer in the Automotive Vertical sector. 5G acts as an enabler of advanced networking architectures which, in turn, allow the development of novel services, by attracting and engaging third parties to experiment using available 5G infrastructure and connectivity. 5G-IANA is a Horizon 2020 ICT-41 project that targets to create such an advanced open experimentation platform, bringing powerful novelty to third parties through the integration and provisioning of far-edge resources for network orchestration purposes, and through the offering of Machine Learning knowledge as an add-on service to them. The scope of this paper is, therefore, to present the 5G-IANA project overall goals, by emphasizing the most important expected innovations from the project regarding far-edge resources' orchestration and ML as a service provisioning.