User-Based Storage Site Segmentation for Data Management
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Solution Overview
Problem
Existing data storage management systems face inefficiencies in managing data associated with user-based storage sites, particularly due to the large size and coverage area of traditional storage sites, which leads to excessive computing and network resource usage.
Innovation Solution
A system that identifies user-based storage sites with object lists including specific objects and located within a distance threshold of user locations, allowing for efficient data management by parsing down data to what is relevant to the user-based storage site, thereby conserving resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional storage sites with large coverage areas are used to manage user data, then data availability and access scope are improved, but computing resource usage and network resource usage increase excessively
Solution Approach 1:
The patent segments the traditional large-scale storage site into multiple user-based storage sites, each serving a specific geographic region or user group. This segmentation allows data to be organized and stored in distributed locations closer to users, reducing the need for centralized processing and minimizing network transmission distances, thereby lowering computing and network resource consumption while maintaining data accessibility.
Solution Approach 2:
The patent implements local quality by creating storage sites with characteristics optimized for their specific user bases and geographic locations. Each user-based storage site stores and processes data locally for its associated users, reducing the need for remote data access and minimizing network resource usage. This local化处理 enables faster data retrieval and reduces the computational burden on centralized systems.
2Adaptability or versatility
If traditional storage sites with large coverage areas are used to manage user data, then data availability and access scope are improved, but network resource usage increases excessively
Solution Approach 1:
The patent segments the traditional large-scale storage site into multiple user-based storage sites, each serving a specific geographic region or user group. This segmentation allows data to be organized and stored in distributed locations closer to users, reducing the need for centralized processing and minimizing network transmission distances, thereby lowering computing and network resource consumption while maintaining data accessibility.
Solution Approach 2:
The patent introduces user-based storage sites as intermediary components between users and the traditional centralized storage system. These intermediaries cache and manage data locally, reducing the frequency and volume of network communications required for data access. This intermediary layer filters and pre-processes data requests, minimizing network resource usage while maintaining broad data access capability.
3Productivity
If data is managed across multiple user-based storage sites with location filtering, then resource efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal data management framework that can operate across multiple user-based storage sites with consistent protocols and interfaces. The system uses standardized location data structures and distance threshold calculations that can be applied uniformly across different storage sites, reducing the complexity that would otherwise arise from site-specific implementations. This multi-functional approach allows the same system logic to serve diverse storage locations efficiently.
Solution Approach 2:
The patent manages system complexity by parameterizing key aspects of the data management system, such as distance thresholds, location data formats, and storage site identification schemes. By making these parameters configurable and standardized, the system can adapt to different user-based storage site configurations without requiring fundamental changes to the core logic, thereby maintaining resource efficiency while controlling complexity through parameterized design.
Data Source
AI summary
In some implementations, a system may receive interaction data indicating an object and a user location associated with a user of a plurality of users. The system may identify a user-based storage site, of a plurality of user-based storage sites corresponding to at least a subset of the plurality of users, having an object list that includes the object. A particular user-based storage site, of the plurality of user-based storage sites, may have a storage site location associated with a corresponding user. The storage site location may be within a distance threshold of the user location. The system may transmit location data indicating the storage site location. The system may receive retrieval data indicating that the object has been retrieved from the user-based storage site. The system may update the object list of the user-based storage site.