Data Management Module for Offline Access Optimization
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Solution Overview
Problem
Mobile electronic devices have limited onboard storage, restricting data capacity and making desired data inaccessible when offline due to the need for network connectivity.
Innovation Solution
Implementing a data management system that determines upcoming events, such as network unavailability or low storage space, to proactively download essential data and offload less critical data, using an event determination module and data management module to prioritize and manage user data through graphic user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If cloud storage service is used to store additional data, then data capacity is improved, but data accessibility when offline deteriorates
Solution Approach 1:
The system proactively predicts upcoming events (offline periods, storage constraints) and pre-loads necessary data to local storage before the event occurs. This preliminary action ensures data is available when needed, resolving the contradiction between using cloud storage for capacity and maintaining offline accessibility.
Solution Approach 2:
The system dynamically adjusts the distribution of data between cloud storage and local storage based on predicted usage patterns, device storage capacity, and anticipated offline periods. This dynamic allocation optimizes both data capacity utilization and offline accessibility.
2Reliability
If more data is stored locally on the electronic device, then data accessibility is improved, but onboard storage capacity is exceeded
Solution Approach 1:
The system changes the parameter of data location (local vs. cloud) based on predicted events and usage patterns. By dynamically adjusting which data resides locally versus in the cloud, the system maintains offline accessibility for critical data while preventing local storage capacity from being exceeded.
3Reliability
If data is pre-loaded to local storage, then offline accessibility is improved, but storage space consumption increases
Solution Approach 1:
Instead of pre-loading all possible data, the system selectively pre-loads only the data predicted to be needed during upcoming offline periods. This partial action approach improves offline accessibility for critical data while avoiding unnecessary storage space consumption.
Data Source
AI summary
Some examples include determining, by one or more processors, that both a first electronic device and a second electronic device are to be accessible at least in part during an event. Further, the one or more processors may determine user data stored on the first electronic device, the second electronic device, and a network storage. In addition, the one or more processors may determine, based at least in part on the user data stored on, or to be stored on, the second electronic device prior to the event, user data to download to the first electronic device from the network storage prior to the event.


