MEC基础设施中汽车数据功能的生存周期管理
Life cycle management of automotive data functions in MEC infrastructures
摘要：
汽车实时捕获并生成大量数据，包括驾驶动态、环境以及驾驶员和乘客的活动。随着互联和自动移动（CAM）应用的普及，车辆数据对汽车行业的价值越来越高，因为它不仅限于车载系统和服务。本文提出了一种利用5G网络的多访问边缘计算（MEC）技术实现数据货币化的架构。它采用了一个虚拟化框架，根据消费者需求管道实例化，该管道根据服务水平协议（SLA）政策，许可条款和以隐私为中心的设计感兴趣区域（ROI）集群处理数据样本。此外，还确定了为汽车行业创建数据市场时需要考虑的方面，同时强调了超越当前科学和市场解决方案的设计功能。
英文摘要：
Cars capture and generate huge volumes of data in real-time, including the driving dynamics, the environment, and the driver and passengers' activities. With the proliferation of Connected and Automated Mobility (CAM) applications, the value of vehicle data is getting higher for the automotive industry as it is not limited to onboard systems and services. This paper proposes an architecture that exploits Multi-access Edge Computing (MEC) technology of 5G networks to enable data monetisation. It employs a virtualisation framework that instantiates on consumer demand pipelines that process data samples according to Service Level Agreement (SLA) policies, licensing terms and Region Of Interest (ROI) clusters with a privacy-centric design. In addition, the aspects that need to be considered when creating a data marketplace for the automotive sector are identified while highlighting the design features that go beyond the current scientific and market solutions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
