FAQ

AECC is an issue driven, cross industry consortium addressing the scalability challenges of data driven mobility. It enables global vehicle data collection through cellular, Wi Fi, and other access technologies, while building distributed computing infrastructure to accelerate AI and AD/ADAS development. AECC also promotes standardized Telco APIs to deliver high quality, cost efficient connectivity. Its focus on real-world Proofs of Concept (PoCs) ensures end-to-end validation, making solutions practical, scalable, and ready for industry adoption.

The 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.

• The mission is to build an ecosystem comprising of mobile communication industry leaders; big data cloud and analytics service providers; and leading automotive industry players 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.

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 members are key players associated with the automotive, high-speed mobile network, edge computing, wireless technology, distributed computing, and artificial intelligence markets. Individual collaborators share deep experience with many roles, such as:

• Academia and Commercial Researchers
• Aftermarket Consumer Electronics Vendors
• Automotive OEMs & Suppliers
• Big Data/Analytics Service Providers
• Cloud Computing Service Providers
• Communities involving telecommunications and infrastructure; Multi-access Edge Computing (MEC); and Open Edge Computing
• Mobile Network Equipment Providers
• Mobile Network Operators
• Policy and Standards Groups
• Tier 1 Suppliers

Edge computing is a cloud-based information and communications framework that connects hardware, software and applications to enable high-quality vehicle control, services and experiences. Within the connected car ecosystem, the local data center closest to the vehicles on the road (i.e., the edge) will manage each vehicle’s computing needs to complete a task. The local data center will then submit the vehicle’s relevant data to a centralized data center for advanced analytics and processing.

With an open standards-based framework, connected vehicles can take advantage of an entire ecosystem of compatible applications, software and services. This framework will also support all major platforms and systems, allowing timely collaboration with mobile, traffic, mapping and communication networks.

The Consortium is pursuing our mission through development of use cases, technical reports and reference architectures.

Use Cases – 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.

Technical Reports – 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.

Reference Architectures – 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.

Please visit the AECC membership page for more information on membership and how to join.

Please visit the AECC membership page for more information on membership and how to join.