To exploit the enormous amounts of data generated by connected cars, a handful of industrial players (including Toyota, Intel or Ericsson) have agreed to adapt edge computing, a method of data exchange using new network infrastructures and in order to exploit BigData in the automotive sector.
With the advent of autonomous driving, connected cars promise to generate billions of gigabytes of data that will not only store but know how to exploit to pull the full essence of this pool of information.
Before this, it will also be necessary to make these data intelligible and exchangeable. Intel has agreed with Toyota, NTT Docomo, Ericsson or Denso to collaborate to facilitate the exchange of this data in the cloud.
“The goal is to develop an ecosystem for connected cars to support emerging services such as smart driving, map generation with real-time data, and cloud-based driving support,” reads the statement issued by Toyota.
The Automotive Edge Computing will focus on increasing the network capacity to accommodate the large volume of data that will land in the coming years. The consortium plans to invite “world leaders in the technology industry” to join its ranks in the coming months.
The premise of the Automotive Edge Computing is based on the belief that all connected cars will send 10 exabytes of data per month by 2025.
According to the founding members of the agreement, this will require a new architecture for the networks and machines that will have to process all this data. With edge computing, the consortium imagines that it can find a solution based on a technology whereby the data is first processed locally and then transferred to the cloud.