A future where all connected vehicles can deliver the full benefits of big data enabling intelligent driving, improved safety, increased efficiency and greater reliability.
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 is pursuing our mission through development of use cases, technical reports and reference architectures.
The Consortium is creating use cases and requirements on networking and computing for connected services in automobiles. Examples are high-definition map creation and distribution, intelligent driving and remote diagnostic maintenance. Eventually our work will expand to emerging mobile devices such as drones, robots and other types of vehicles.
Our technical reports and white papers inform standards and open-source communities on best practices for deploying distributed and layered computing architecture for connected cars. Related technologies include public and private clouds, telecommunications networks and mobile devices. The use cases describe requirements needed to help their deployment.
Consortium publications discuss reference architectures for next-generation mobile networks and cloud that are suitable for automotive use cases. For example, AECC is addressing efficiency issues in resource utilization from the viewpoints of communication bandwidth, computational power, and storage capacity. Defining reference architectures is necessary to determine the best way to meet various requirements by appropriate parameter settings with as small an impact as possible on system architecture complexity. Resolving these issues may include, but not be limited to architectures for in-vehicle systems, edge computing, process/task migration, network virtualization (SDN/NFV), network interface/messaging, data center fabric and multiple-accesses (Wi-Fi/Cellular, etc.), relation to public cloud infrastructure and cross-network application orchestration.
For additional information, please download our white paper, General Principles and Vision.
Consortium Activites for 2019
- Define specific automotive use cases and requirements with a focus on networking and computing for automotive big data.
- 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 with measures of success.
- Address efficiency issues in resource utilization such as communication bandwidth, computational power and storage capacity. Examples of solutions may include 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.).