3D Index Data Versioning for Hierarchical Spatial Packet Generation
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Solution Overview
Problem
Interactive map navigation systems face inefficiencies in bandwidth usage due to unnecessary data requests from datacenters, as they lack effective methods to determine data availability at different levels of detail, leading to wasteful consumption of bandwidth.
Innovation Solution
The implementation of hierarchical spatial data structures with 3D data versioning allows for the generation of packet data that indicates availability, enabling clients to determine data presence and request only necessary data, using a 3D index table for data updates and ensuring a consistent view without service interruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the map system requests data from datacenters without checking availability, then data can be retrieved, but bandwidth is wasted and the system becomes inefficient
Solution Approach 1:
The system performs preliminary actions by generating and storing availability information packets that indicate whether data exists at specific locations and levels before actual data requests are made. This preliminary availability check prevents wasteful data requests and optimizes bandwidth usage by allowing the map system to determine data presence in advance.
2Loss of energy
If the map system checks data availability before requesting data, then bandwidth is saved, but the system requires additional data structures and processing
Solution Approach 1:
The availability information is segmented into discrete packets organized by hierarchical levels, where each packet contains availability status for specific geographic locations and detail levels. This segmentation allows the system to manage complexity through structured, modular data organization rather than requiring complex centralized tracking mechanisms.
3Reliability
If data is updated in datacenters, then new information is available, but service interruptions may occur without proper versioning
Solution Approach 1:
Version identifiers are assigned to data packets in advance before updates occur. When data is updated in datacenters, the new version information is prepared beforehand, allowing clients to transition smoothly between versions without service interruption. This preliminary versioning ensures data consistency while maintaining continuous service availability.
4Productivity
If the system serves old data packets while updating, then service continuity is maintained, but data freshness is compromised
Solution Approach 1:
The system dynamically manages data versioning by serving different version identifiers to different clients based on their needs. Old data packets continue to be served with their original version identifiers while new data is simultaneously available, allowing the system to maintain service continuity for existing clients while providing fresh data to those who request updates, thus balancing continuity and freshness dynamically.
Data Source
AI summary
The disclosed implementations are related to hierarchical spatial data structures with 3D data versioning for generating packet data. The packet data can be used by a client application to determine the availability of data at certain levels of a hierarchical spatial data structure. A 3D index table storing data version information can be used to support data updates and to ensure that a consistent view of data is provided to clients without suffering interruptions in service.