The 5G-IANA platform: Bringing far-edge resources and ML potential to the disposal of automotive third parties

F. Moscatelli, Thanos Xirofotos, Amr Rizk, Nehal Baganal-Krishna, E. Bonetto, Eirini Liotou, A. Amditis
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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.
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5G-IANA平台:为汽车第三方的处置带来远端资源和机器学习潜力
5G的出现改变了汽车垂直行业的游戏规则。5G作为先进网络架构的推动者,反过来,通过吸引和吸引第三方使用可用的5G基础设施和连接进行实验,允许开发新颖的服务。5G-IANA是一个地平线2020 ICT-41项目,旨在创建这样一个先进的开放实验平台,通过为网络编排目的集成和提供远端资源,并通过向第三方提供机器学习知识作为附加服务,为第三方带来强大的新颖性。因此,本文的范围是通过强调该项目在远端资源编排和机器学习作为服务提供方面最重要的预期创新,来展示5G-IANA项目的总体目标。
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