As the amount of data generated by vehicles continues to grow exponentially, the complexity of modern cars is placing significant pressure on existing network infrastructures. This growing demand has led to an urgent need for innovative solutions that can efficiently manage and process massive data flows. Xevo’s Journeyware solution was specifically designed to address these challenges.
According to Dan Gittleman, CEO of Xevo, a leading developer in vehicle user experience, the volume of data transmitted between connected vehicles and the cloud is expected to increase by 10,000 times by 2025, reaching 10 Exabytes per month. This staggering growth highlights the necessity for advanced computing and networking strategies that can support the evolving needs of smart vehicles.
To cope with this surge, Gittleman suggests that automakers and engineers should integrate cloud-based services with in-vehicle computing capabilities. This approach enables devices and software to maintain smooth operations even as data volumes expand. By leveraging both local and cloud resources, manufacturers can ensure reliable performance without overwhelming the network.
Journeyware is a platform that combines cloud-based machine learning, artificial intelligence, and data analytics tools with in-vehicle processing capabilities. It is designed to collect, manage, analyze, and deliver large and diverse data streams from connected vehicles. The solution optimizes network and computing efficiency by seamlessly integrating in-vehicle systems with cloud infrastructure.
One key feature of Journeyware is its ability to triage data, determining where it should be processed locally and where it needs to be sent to the cloud. This decentralized approach helps conserve network bandwidth by keeping non-critical data within the vehicle, reducing unnecessary data transfers.
Customizable rules allow users to define where and how data is stored, ensuring that high-priority information receives the attention it needs. For instance, engineers can set up rules to store specific data locally or upload it to the cloud based on conditions such as low speed or activation of windshield wipers. These rules help create a more efficient data management architecture, minimizing overall data load and preventing network congestion.
In terms of storage, Journeyware can decide whether data should be stored temporarily or permanently, either on the vehicle or in the cloud. When data is sent to the cloud, the system can determine the best location for quick analysis or long-term archival, depending on access frequency.
By combining rule-based data classification with flexible storage options, Journeyware empowers vehicle designers to proactively manage the ever-increasing data generated by connected cars. This ensures that devices and software continue to operate reliably, even as data demands rise.
Gittleman also emphasized the impact of mobile devices like smartphones and tablets on the network. He suggested that hardware and software solutions supporting Bluetooth pairing and in-vehicle Wi-Fi hosting can provide a stable connection for these devices, allowing them to remain active at all times.
Ultimately, the growing data demands of connected vehicles require proactive solutions. Implementing intelligent data management systems like Journeyware not only addresses bandwidth challenges but also enhances consumer satisfaction and brand loyalty. As the automotive industry moves toward smarter, more connected vehicles, the need for such innovations will only continue to grow.
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