Resource Allocation Quality Function for Mobile Apps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In small-sized devices like mobile telephones with numerous applications, efficiently allocating resources to maintain user experience is challenging due to limited resources, as existing methods require extensive preliminary searches for resource allocation based on user experience quality, which is impractical for devices with many installed applications.
Innovation Solution
A resource allocation apparatus that determines first and second parameters for a quality function to calculate the optimal resource allocation for multiple applications, using a monotonically increasing quality function to efficiently allocate resources and ensure uniform user experience across applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a table indicating the relation between resource amount and quality of experience is registered in advance for each application, then resource allocation can be performed based on user experience quality, but it requires a huge amount of energy to preliminarily search the relation for devices with many applications
Solution Approach 1:
The patent transforms the complex resource-quality relationship into a simplified parametric form Q=f((R-a)/b), where only two parameters (a, b) need to be determined per application instead of storing complete lookup tables. This parameterization dramatically reduces the data storage and search requirements while maintaining the ability to accurately represent quality of experience across different resource allocation scenarios.
2Ease of operation
If resource allocation is performed based on quality of experience for each application, then user satisfaction can be enhanced, but it requires extensive preliminary search and calculation for devices with many applications
Solution Approach 1:
By representing the resource-quality relationship with a simple parametric function requiring only two parameters per application, the patent enables rapid determination of quality of experience without extensive preliminary searches. The parameters (a, b) can be determined once per application and reused, significantly reducing calculation time while maintaining user satisfaction optimization.
3Measurement precision
If complete resource allocation tables are created for each application, then accurate quality of experience can be achieved, but it increases device complexity and storage requirements
Solution Approach 1:
The patent reduces system complexity by replacing complex lookup tables with a simple parametric model Q=f((R-a)/b). Each application is characterized by only two parameters (a, b) instead of requiring complete resource-quality mapping tables, thereby maintaining measurement accuracy while dramatically simplifying the data structure and reducing storage requirements.
Data Source
AI summary
A parameter determination unit 110 substitutes, for each of a plurality of applications, a recommended amount of resources and a quality of experience corresponding to the recommended amount of resources, and a minimum amount of resources and a quality of experience corresponding to the minimum amount of resources into a quality function f in expression (1) indicating a relation between an amount of resources R and a quality of experience Q, to determine parameters a and b. A resource amount determination unit 120 determines an amount of resources to be allocated to the plurality of applications using the quality function f for each application in which the parameters a and b are determined. The quality function f(x) is a monotonically increasing function having an inverse function f−1, connects (−∞,0) and (+∞,1), and is symmetrical with respect to x=0.Q=f(x)=f((R−a)/b) (1)