Cold Startup Acceleration via Dynamic Resource Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for cold starting applications on Android systems are inefficient, leading to prolonged startup times due to inadequate resource allocation and lack of targeted optimization policies, which can slow down the terminal's interface display.
Innovation Solution
A method that collects current status information on hardware configuration, operating system load, and resource overheads to determine specific acceleration items and optimization policies, such as CPU frequency boosting, memory management, and task acceleration, to optimize the cold startup process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing resource allocation methods (CPU frequency boost, memory allocation, I/O resource allocation) are used to optimize application startup, then resource allocation is improved, but the cold startup time is not significantly reduced and may even be slowed down in some scenarios
Solution Approach 1:
The patent implements dynamic optimization policies that adapt to different terminal states. The system collects runtime status information including hardware configuration, OS load, and resource overheads, then dynamically selects and adjusts optimization policies accordingly. This dynamic approach allows the system to respond to changing conditions rather than applying static resource allocation rules, thereby achieving more effective cold startup acceleration.
Solution Approach 2:
The patent changes multiple parameters simultaneously to optimize cold startup: CPU frequency boosting, memory allocation adjustments, I/O resource prioritization, and network resource preparation. By coordinating changes across these different parameters rather than adjusting single parameters in isolation, the system achieves synergistic effects that significantly reduce cold startup time while avoiding the limitations of single-parameter optimization approaches.
2Productivity
If comprehensive resource allocation optimization is applied to cold startup, then startup process is optimized, but system complexity increases
Solution Approach 1:
The patent segments the cold startup optimization into distinct modular components: a status collection module that gathers hardware configuration, OS load, and resource overhead information; an analysis module that processes this information; and an execution module that implements specific optimization policies. This segmentation allows each component to be independently developed, tested, and maintained, reducing overall system complexity while achieving comprehensive optimization through coordinated module interaction.
Solution Approach 2:
The patent introduces an intermediary optimization management system that coordinates between the operating system's resource allocation mechanisms and the application startup process. This intermediary layer collects status information, determines appropriate optimization strategies, and adjusts resource allocation parameters without requiring direct modifications to either the OS kernel or application code, thereby managing complexity through abstraction.
Data Source
AI summary
This application provides a method and an apparatus, for accelerating cold startup of an application. The method includes after identifying an event that instructs an operating system of a terminal to cold start up an application, obtaining, from a plurality of dimensions, current status information related to the cold startup of the application, where the current status information includes a hardware configuration of the terminal, current load of the operating system of the terminal, resource overheads for cold starting up the application, and duration corresponding to each of a plurality of tasks in a process of cold starting up the application. The method also includes determining, by analyzing the current status information, a plurality of objects that need to be optimized in the current process of cold starting up the application; and then obtaining, based on the determined objects.