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Internet of Vehicles

Alibaba Cloud Integrated Solution for Autonomous Driving: Breaking through Technology Bottlenecks

To meet diverse needs of the autonomous driving industry, Alibaba Cloud created a data storage solution that integrates data collection, transmission, storage and computing.

Pravega, the Answer of Storage Layer in Flink Ecosystem

Yu Teng and Haikai Zhao, Dell EMC, introduce the evolution of big data architectures, advanced features of Pravega, and scenarios of the Internet of Vehicles.

Optimizing Internet of Vehicles Data with the Window Function

This article describes how to optimize the data collected about the virtual tracks traveled by a vehicle by removing unnecessary data and separating data by vehicle.

Cloud Deployment Process for Internet of Vehicles: IoV Series (III)

In this article series, we look at some of the best practices for migrating an Internet of Vehicles (IoV) system to the cloud.

Testing and Optimization for Internet of Vehicles: IoV Series (IV)

In this article series, we look at some of the best practices for migrating an Internet of Vehicles (IoV) system to the cloud.

6 Pain Points of Traditional Internet of Vehicles Architecture: IoV Series (I)

In this article series, we look at some of the best practices for migrating an Internet of Vehicles (IoV) system to the cloud.

Alibaba Underlines "Intelligent Collaboration of Vehicle to Road" in New Automotive Strategy

Alibaba a plan to upgrade its automotive strategy that aims to build an "intelligent expressway."

Internet of Vehicles: Window Querying with Alibaba Cloud PostgreSQL

Internet of Vehicles (IoV) is a popular topic of research in the field of IoT. One of the biggest issues facing IoV is collecting vehicle's travel tracks in real time.