Integrated Data Management for Mobile Devices
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Solution Overview
Problem
Mobile devices face challenges in managing and analyzing data collected from different service providers' clouds, as existing systems do not effectively integrate data from various applications, leading to reduced user benefits and inconvenience in accessing and utilizing integrated information.
Innovation Solution
An apparatus and method for integrated data management in mobile devices, which includes a data collector, processor, and storage system that classifies, processes, and analyzes data from multiple clouds to create an integrated model based on user preferences and habits, using predefined learning algorithms, and provides integrated data upon user request.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is stored separately in different clouds by various service providers, then each service provider can manage its own data independently, but the user cannot access and utilize integrated information from multiple applications
Solution Approach 1:
The patent introduces a data management system as an intermediary layer between multiple cloud storage services and the user device. This mediator collects data from various clouds, standardizes formats, and presents unified access interfaces, thereby enabling data integration without requiring changes to the underlying complex cloud infrastructure.
Solution Approach 2:
The data management system is designed with universal functionality to handle multiple types of data from different service providers through a single unified interface. It can collect, process, and manage diverse data formats (emails, photos, videos, chats, calls, documents) from various cloud platforms, making the system adaptable to multiple data sources without requiring separate management mechanisms for each.
2Loss of information
If multiple applications collect data from different clouds, then diverse data types can be gathered, but the data cannot be analyzed collectively to provide integrated user benefits
Solution Approach 1:
The data management system performs preliminary actions by collecting and standardizing data from multiple clouds before analysis is needed. It proactively gathers data, converts formats to standards, and organizes information in advance, so that when analysis is required, the data is already prepared and integrated, significantly improving analysis efficiency.
Solution Approach 2:
The system merges data from multiple separate cloud sources into a unified data structure. By combining data collection, format conversion, and organization into a single integrated process, it enables collective analysis of diverse data types (location information, photo information, text message information) to generate comprehensive user insights that individual applications cannot provide alone.
3Reliability
If each application separately identifies user information, then data privacy can be maintained at the application level, but user preferences and habits cannot be comprehensively analyzed
Solution Approach 1:
The data management system acts as a trusted intermediary that collects data from multiple applications while maintaining privacy protections. It processes and analyzes data centrally to identify user preferences and habits, then provides integrated results back to applications, thereby enabling comprehensive analysis without requiring each individual application to have direct access to all user data.
Data Source
AI summary
An apparatus for integrated management of data in a mobile device, the apparatus including a data collector configured to collect data from one or more clouds, a data processor configured to process the collected data, analyze the processed data, and create an integrated model based on the analysis. The apparatus further includes a data storage configured to store the created integrated model.