Mobile Application Rating System for Power and Traffic Analysis
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Solution Overview
Problem
Existing application rating systems for mobile devices lack comprehensive information on power consumption and traffic volume, which are critical considerations due to limited power resources and data usage billing, and do not provide users with detailed insights beyond user feedback.
Innovation Solution
A method and system that collect and compare traffic data and power data from mobile devices to provide ratings for computing applications, incorporating metrics such as traffic volume, power consumption, and user feedback, allowing for benchmarking within categories and providing users with enhanced decision-making information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional user feedback ratings are used for computing applications, then users can get general satisfaction information, but users lack detailed information on power consumption and traffic volume
Solution Approach 1:
The rating system is segmented into multiple independent components: traditional user feedback ratings, power consumption ratings, and traffic volume ratings. Each component collects and processes specific types of data separately, then presents them together as a comprehensive rating profile. This segmentation allows the system to provide detailed information without overwhelming complexity in any single rating mechanism.
Solution Approach 2:
The patent introduces intermediary mechanisms (rating collectors and processors) that gather power consumption and traffic volume data from applications and transform them into standardized rating formats. These intermediaries bridge the gap between raw technical data and user-friendly rating information, enabling comprehensive ratings without directly complicating the user interface.
2Reliability
If power consumption and traffic volume data are collected for all applications, then users can make informed decisions about battery life and data usage, but the system requires additional data collection infrastructure
Solution Approach 1:
The rating system implements self-service mechanisms where applications automatically report their own power consumption and traffic volume metrics to the rating infrastructure. The system collects data that applications naturally generate during normal operation, rather than requiring external monitoring tools. This reduces infrastructure complexity while maintaining reliable data collection for accurate user decision-making.
3Ease of operation
If detailed ratings on power consumption and traffic volume are provided, then users can optimize battery life and data usage, but developers receive limited feedback for improvement
Solution Approach 1:
The patent establishes a two-way feedback loop: users receive detailed ratings to make informed decisions, while developers simultaneously receive the same detailed data about their application's power consumption and traffic volume patterns. This feedback mechanism enables developers to identify specific areas for optimization while users gain control over resource usage. The system transforms raw measurement data into actionable insights for both parties.
Data Source
AI summary
A rating is provided for a computing application. Traffic data, power data, and/or network signaling load data is collected for a computing application and compared with other similar data. A rating for the computing application is provided based on the comparison.