Decentralized Mobile Data Replication via Edge Stations
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Solution Overview
Problem
The increasing amount of data generated by mobile IoT devices, such as cars and drones, exceeds available 5G bandwidth and storage capacity, making it impractical to create backup copies and retain all data due to limited onboard storage, which may be lost in events like accidents or fires.
Innovation Solution
A distributed and decentralized replication system that streams data to local stations or other connected devices using a fast local link, allowing data to be replicated across multiple stations with metadata stored in the cloud or blockchain for reconstruction, enabling data retention and retrieval even if the original device's storage is unavailable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored locally on mobile IoT devices, then data availability is maintained, but storage capacity is limited and data may be lost in accidents
Solution Approach 1:
The patent segments data storage across multiple independent locations: local device storage, edge server storage, and cloud storage. This segmentation allows the system to maintain data availability while distributing storage burden, so that if one location is compromised (e.g., device destroyed in accident), data remains accessible from other segments.
Solution Approach 2:
The patent introduces edge servers as intermediary components between mobile devices and cloud infrastructure. These edge servers act as mediators that receive data from devices, provide local backup capacity, and relay data to cloud storage, thereby extending storage capacity without requiring direct device-to-cloud communication and improving data availability.
2Reliability
If backup copies are created for all data, then data retention is improved, but bandwidth requirements exceed available 5G capacity
Solution Approach 1:
The patent applies local quality by implementing differential backup strategies where only changed or new data segments are transmitted to backup locations, rather than replicating entire datasets. This allows selective backup of critical data portions, improving data retention while significantly reducing bandwidth consumption compared to full replication.
Solution Approach 2:
The patent implements partial backup action by prioritizing backup of critical data segments while deferring or omitting backup of less important data. This partial approach ensures retention of essential information without requiring the excessive bandwidth that would be needed for complete data replication across all devices.
3Reliability
If data is distributed across multiple stations, then data availability is improved, but system complexity increases
Solution Approach 1:
The patent merges multiple storage functions into a unified distributed architecture where devices, edge servers, and cloud infrastructure work together as an integrated system. This merging approach improves data availability through redundancy while managing complexity by establishing standardized protocols and automated data synchronization mechanisms that simplify operations despite the distributed nature of the system.
Data Source
AI summary
A replication system for data of mobile devices is disclosed. The data of a mobile device is uploaded to stations in an area. Metadata associated with the objects is stored in a centralized or decentralized system. The metadata can be accessed to identify the stations storing the device's objects and the data of the mobile device can then be retrieved from the stations and reconstructed.