Mobile networks like 4G and 5G are constructed to allow the fourth industrial revolution by giving high bandwidth and low-latency communication on the radio interface for both downlink and uplink data. Distributed cloud in automotive industry take advantage these features, allowing a distributed execution environment for application to assure performance, short latency, high reliability and data locality.
The increasing of importance in mobile communication in vehicle push the automotive industry works to ensure all user driving safer, smooth the flow of traffic, absorb energy more effectively and reduce emissions. Some vehicles need emerging services to be linked to the cloud. For example automated and intelligent driving, the creation and distribution of advanced maps with real-time data and also advanced driving assistance that use cloud-based analytic of uplink video streams. While the vehicle is in operating mode, these services need networks that can help the transfer of a big amount of data between vehicles and the cloud, usually with real-time characteristics between a limited time frame.
In the automotive industry, we always target on the real-time use cases for safety, where real-time prospects like short latency are the most crucial requirements. Nevertheless, due to the intense amount of data that must be transmitted to and from highly mobile devices, usually with near-real-time characteristics, the automotive industry’s new mobility services can place high demands on the network capacity. Data have to be transmitted between a restricted time window, with a differing geographical concentration of vehicles using a multitude of different network technologies and condition.
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