Connected Device Data Management via Metadata Parsing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data management tools for connected devices are either too general or not granular enough, failing to effectively track and manage data usage across multiple devices, leading to unintended high data consumption due to unclear allocation among devices.
Innovation Solution
A method and system that identify and classify data usage across multiple devices by parsing metadata and network data, generating reports that show data consumption by individual applications and devices, allowing customers to customize the level of granularity and manage their data usage effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data usage is tracked at a general level across multiple devices, then data management becomes simpler, but data consumption allocation becomes unclear leading to unintended high usage
Solution Approach 1:
The patent segments data usage information by dividing it into device-level and application-level categories. The system parses metadata and network data to identify specific applications on specific devices, creating a segmented view of data consumption that maintains simplicity while providing detailed allocation clarity through hierarchical organization of usage data.
2Loss of information
If detailed tracking of data usage by individual applications and devices is implemented, then data allocation clarity improves, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary processing system that automatically parses metadata and network data to identify applications and devices. This intermediary layer handles the complex analysis work, providing detailed data allocation clarity to users without requiring them to directly manage or understand the underlying complexity of tracking multiple devices and applications.
Solution Approach 2:
The system implements self-service by automatically generating reports through parsing of metadata and network data. The processing system autonomously identifies applications, devices, and their respective data consumption without requiring manual configuration or intervention, thereby reducing operational complexity while maintaining detailed tracking capabilities.
3Loss of information
If comprehensive reports on data consumption by applications and devices are generated, then data usage understanding improves, but processing overhead increases
Solution Approach 1:
The patent applies preliminary action by parsing and analyzing metadata and network data in real-time as data transmissions occur. The system proactively identifies applications and devices before generating reports, pre-processing the information needed for comprehensive data usage understanding. This approach consolidates processing efforts and reduces the computational overhead required when generating final reports.
Data Source
AI summary
A processing system in a network identifies first and second endpoint devices subscribed to a data plan that allows the first and second user endpoint devices to transmit and receive a shared, allotted amount of data through the network. A first subset of application data associated with the data plan is classified by parsing metadata associated with the application data to identify a first group of applications to or from which the application data was sent. A second subset of the application data is classified by parsing network data associated with the application data to identify a second group of applications to or from which the application data was sent. A report indicates respective portions of the allotted amount of data consumed by individual applications in the first and second groups of applications, and how much of the respective portions were consumed by the first and second user endpoint devices.