Geographic Vehicle Data Storage With Local Caching
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Solution Overview
Problem
Storing and retrieving vehicle data generated by vehicles is challenging due to the large volume of data, making it difficult for users to efficiently access and analyze the data for training and analysis purposes.
Innovation Solution
A decentralized data storage system is implemented, where vehicle data is stored locally within geographic areas using data packages, with systems configured to retrieve and cache specific types of data based on user requests, reducing the need for centralized storage and optimizing data retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle data is stored in a centralized location, then data retrieval requires extensive network communication, but data access efficiency for users in different geographic areas deteriorates
Solution Approach 1:
The patent divides the centralized data storage system into multiple decentralized storage nodes distributed across different geographic areas. Each node stores vehicle data locally, segmenting the monolithic storage system into distributed units. This allows users to access data from the nearest node, reducing network communication time and improving access efficiency while maintaining data reliability through distributed redundancy.
Solution Approach 2:
The patent implements geographic-aware data storage where data is cached at edge locations closer to users. Frequently accessed vehicle data is replicated to regional storage nodes, ensuring that users in specific geographic areas access data from local rather than remote locations. This local quality optimization reduces retrieval time without sacrificing data completeness.
2Loss of information
If all vehicle data is stored centrally, then comprehensive data availability is improved, but network communication overhead and computational resources increase
Solution Approach 1:
The patent pre-caches vehicle data at multiple decentralized storage nodes before users request it. Data is proactively replicated to edge locations based on predicted access patterns and geographic distribution. This preliminary action ensures data is already available locally when needed, eliminating the need for extensive network communication during actual data retrieval operations.
Solution Approach 2:
The patent creates multiple copies of vehicle data across distributed storage nodes instead of storing a single centralized copy. Each node holds relevant data subsets, and the system intelligently serves requests from the nearest copy. This copying strategy maintains comprehensive data availability while dramatically reducing network communication overhead by serving data from local copies rather than remote central storage.
3Speed
If vehicle data is stored locally in geographic areas, then data retrieval speed is improved, but system complexity increases
Solution Approach 1:
The patent introduces a data coordination layer that acts as an intermediary between users and decentralized storage nodes. This mediator handles the complexity of data location tracking, node selection, and data routing transparently. Users interact with the simple mediator interface rather than directly managing complex distributed storage operations, maintaining fast local retrieval speed while abstracting away system complexity.
Data Source
AI summary
This disclosure is directed to techniques for storing vehicle data. For instance, system(s) may receive first vehicle data generated by first vehicles operating in a first geographic area. The system(s) may then store the first vehicle data in a first memory. Additionally, the system(s) may determine a type of vehicle data to request from other system(s). The system(s) may then send the other system(s) a request for the type of vehicle data. Based on sending the request, the systems may receive second vehicle data that includes the type of vehicle data, where the second vehicle data is generated by second vehicles operating in a second geographic area. The system(s) may then store the second vehicle data in a second memory. The first memory may be a first type of memory and the second memory may be a second type of memory that is different than the first type of memory.