Local Content Storage for Predicted Events
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Solution Overview
Problem
Users face challenges in accessing their content items when network storage is unavailable or unreliable, particularly in areas with restricted or costly access, leading to inefficiencies in content management and storage.
Innovation Solution
A method that determines predicted events based on user data, such as calendar events and social connections, and automatically transmits relevant content items from network storage to local devices for storage, ensuring availability during events even without reliable network access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If content items are stored in network storage, then storage capacity is improved, but accessibility is worsened when network access is restricted or unreliable
Solution Approach 1:
The system performs preliminary actions by predicting future events based on user data analysis and proactively downloading relevant content items to local devices before the events occur. This ensures content is available offline when needed, resolving the contradiction between network-dependent storage and offline accessibility.
2Reliability
If all content items are downloaded to local devices, then accessibility is improved, but storage capacity consumption is worsened
Solution Approach 1:
The system extracts only the relevant subset of content items needed for predicted events from the complete content library. By analyzing user data to identify which content will be needed and downloading only those specific items, the system maintains offline accessibility while minimizing local storage consumption.
Solution Approach 2:
Different quality levels or completeness of content are maintained in different locations. Network storage holds the complete high-capacity repository, while local devices receive curated subsets optimized for their specific predicted needs, allowing each location to have appropriate content quality and quantity for its function.
3Ease of operation
If manual data transfer and storage management is performed, then storage control is improved, but ease of operation is worsened
Solution Approach 1:
The system performs self-service by automatically analyzing user data, predicting future events, selecting relevant content items, and downloading them to appropriate local devices without user intervention. This automation eliminates the time-consuming manual management tasks while maintaining effective storage control through intelligent algorithms.
4Reliability
If content items are pre-downloaded before predicted events, then accessibility is improved, but network usage is worsened
Solution Approach 1:
The system extracts and downloads only the specific content items relevant to predicted events rather than downloading all content. This selective approach maintains offline accessibility while significantly reducing network usage and energy consumption compared to comprehensive pre-downloading.
Data Source
AI summary
Implementations relate to content data determination, transmission, and storage for local devices. In some implementations, a computer-implemented method includes determining an event for a user based on user data associated with the user, and includes programmatically analyzing the user data having one or more references to at least one of persons, locations, and scheduled activities. The method determines a set of content items to be accessed at the event, where one or more content items of the set are determined based on the user data, and the set of content items includes content data related to the event. Prior to a time of the event, the set of content items are transmitted over a communication network from network storage to local device(s) associated with the user, where the content items are stored in local storage of the local device(s).