Mobile Memory Cleaning via Non-Fluency Detection
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Solution Overview
Problem
Mobile devices experience performance issues due to memory fluency problems caused by unclosed application programs, leading to poor user experiences when many applications are initiated without being properly terminated.
Innovation Solution
A method and device that determine a preset level of non-fluency in a mobile device, select a corresponding cleaning mode, and clean unnecessary application programs without user perception, improving device performance by managing memory usage based on detected non-fluency levels and program types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If many application programs are initiated without closing them, then the user can access multiple applications, but the memory fluency deteriorates and device performance degrades
Solution Approach 1:
The system automatically monitors memory fluency and performs cleaning operations without user intervention. The processor detects non-fluent states and autonomously terminates application programs to restore performance, making the system self-regulating rather than requiring manual user action.
Solution Approach 2:
The system continuously monitors memory fluency state and uses this feedback to trigger cleaning operations. When the processor detects that memory fluency has deteriorated below a threshold, it initiates automatic termination of application programs, creating a closed-loop control system that maintains performance.
2Reliability
If application programs are automatically cleaned without user perception, then memory fluency is improved, but user control over application programs is reduced
Solution Approach 1:
The cleaning operation is performed automatically by the system without requiring user initiation or awareness. The processor monitors memory state and autonomously executes cleaning by terminating application programs, providing seamless maintenance that does not interrupt user workflow.
3Reliability
If cleaning operations are performed frequently to maintain memory fluency, then device performance is improved, but energy consumption increases
Solution Approach 1:
The system performs cleaning operations periodically based on detected non-fluent states rather than continuously or on a fixed schedule. Cleaning is triggered only when the processor detects that memory fluency has deteriorated, creating an event-driven approach that reduces unnecessary operations and energy consumption.
Data Source
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AI summary
The present disclosure relates to a method and device for cleaning a memory, and an electronic device. The method includes that: a preset level corresponding to a detected non-fluent state is determined (S101); a cleaning mode corresponding to the preset level is determined (S102); and an application program running in a memory is cleaned according to the cleaning mode (S103).