Life cycle management of automotive data functions in MEC infrastructures

Egileak: Mikel Serón Esnal Ángel Martín Navas Gorka Vélez Isasmendi

Data: 12.10.2022


Abstract

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.

BIB_text

@Article {
title = {Life cycle management of automotive data functions in MEC infrastructures},
pages = {407-412},
keywds = {
automotive data, pipeline, MEC, virtualisation
}
abstract = {

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.


}
isbn = {978-166546250-1},
date = {2022-10-12},
}
Vicomtech

Gipuzkoako Zientzia eta Teknologia Parkea,
Mikeletegi Pasealekua 57,
20009 Donostia / San Sebastián (Espainia)

+(34) 943 309 230

Zorrotzaurreko Erribera 2, Deusto,
48014 Bilbo (Espainia)

close overlay

Jokaeraren araberako publizitateko cookieak beharrezkoak dira eduki hau kargatzeko

Onartu jokaeraren araberako publizitateko cookieak