About 2019-05-20T16:37:30+00:00

Vision Statement

A future where all connected vehicles can deliver the full benefits of big data spanning intelligent driving, improved safety, increased efficiency and greater reliability.

Mission Statement

AECC works with leaders across industries to drive the evolution of edge network architectures and computing infrastructures to support high volume data services in a smarter, more efficient connected-vehicle future.

AECC looks to achieve their mission through the following activities.

  • Development of use cases and requirements for connected services for emerging mobile devices, with a particular focus on automobiles (drones, robots, and other vehicles will be examined in the future). The consortium will develop technical reports and white papers designed to inform relevant standards and open-source communities. These white papers will examine best practices for deploying distributed and layered computing infrastructure, which is comprised of public and private clouds, telecom networks, and mobile devices. In addition, the papers will examine uses cases and the requirements needed to help accelerate their deployment.
  • Discuss and agree on reference architectures, such as for next-generation mobile networks and cloud, which are suitable for automotive-oriented use cases.

For additional information, please download our white paper.

Candidate Activities

  • Define use cases and requirements with a particular focus on networking and computing for automotive big data with an inherent scale-out nature between vehicles and the cloud. Example applications are high-definition map creation/distribution and intelligent driving.
  • Formulate a roadmap strategy, from technology development to market introduction, including the network evolution.
  • Identify relevant communities for standardization and open-source software development, and support these with inputs for use cases and requirements, as well as contribute to realization activities.
  • Address efficiency issues in resource utilization from the viewpoints of communication bandwidth, computational power and storage capacity. The solution may include, but not be limited to; in-vehicle systems, edge computing, distributed cloud, process/task migration, network virtualization (SDN/NFV)/containerization (micro-service), network interface/messaging, data center fabric and multiple-accesses (Wi-Fi/Cellular, etc.)