Data Plan Management System for Residual Data Utilization
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Solution Overview
Problem
Existing data plans for mobile devices often result in unused data at the end of the subscription period, leading to inefficiencies in resource utilization.
Innovation Solution
A data plan management system within a communication device that includes modules for setting an end date, querying residual data, detecting and updating applications using the remaining data, ensuring efficient use of subscribed internet traffic by prioritizing updates based on application usage frequency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a predetermined data plan is subscribed with a fixed amount of Internet traffic, then the user can access the Internet during the subscription period, but the data may not be used up before the end of the month resulting in waste
Solution Approach 1:
The system performs preliminary actions by automatically detecting applications that need updates and initiating the update process before the data plan expires. The management server proactively identifies update needs and executes updates using remaining data, ensuring maximum utilization of the subscribed data before the subscription period ends.
Solution Approach 2:
The system implements self-service functionality where the data plan management system automatically detects, selects, and executes application updates without requiring manual user intervention. The system monitors data usage, identifies update needs, and autonomously manages the update process to optimize data utilization.
2Reliability
If applications are updated continuously to maintain functionality, then application performance is maintained, but data is consumed faster reducing the subscription period
Solution Approach 1:
The system applies partial action by selectively updating only the necessary applications and features rather than performing complete system updates. The management server determines the minimum required updates to maintain functionality, updating only essential applications and excluding non-critical ones to conserve data for the subscription period.
Solution Approach 2:
The system implements local quality by targeting specific applications and features for updates based on their importance and data consumption characteristics. The management server prioritizes updates for critical applications while excluding non-essential ones, creating a differentiated update strategy that preserves data for the subscription period.
Data Source
AI summary
A method for managing subscribed data plan of a communication device, the data plan includes a predetermined amount of Internet traffic for connecting the Internet. An end date of the subscribed data plan is set, and a time for querying residual data of the subscribed data plan is determined according to the end date. The residual data of the subscribed data plan is queried when the determined time is reached. Applications, of the communication device, which are to be updated are detected, and one or more of the detected applications are updated using the residual data of the subscribed data plan of the communication device.


