Mini App Pre-Download Mechanism for Reducing Waiting Time
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Solution Overview
Problem
The existing pre-downloading scheme for mini apps only downloads the main package, leading to long waiting times and resource waste when subpackages and dynamic libraries are required, resulting in degraded user experience and inefficient mini app development.
Innovation Solution
A pre-download mechanism that analyzes user browsing data to determine and download all necessary packages, including subpackages and dynamic libraries, based on dependency analysis, ensuring that only required components are pre-loaded for immediate access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If only the main package is pre-downloaded, then the download size is reduced, but the waiting time increases when subpackages are required
Solution Approach 1:
The system performs preliminary analysis of user browsing data to identify which subpackages and dynamic libraries will be needed, and pre-downloads them before the user actually requests them. This advance preparation eliminates waiting time while avoiding downloading unnecessary packages.
Solution Approach 2:
Instead of downloading all possible packages (excessive), the system downloads only the specific packages that are predicted to be needed (partial). This balances download size with ensuring all required components are available, avoiding both waste and insufficient pre-loading.
2Productivity
If all necessary packages are pre-downloaded, then the waiting time is reduced, but the download size increases
Solution Approach 1:
The system continuously monitors user browsing behavior and feedback to dynamically adjust which packages are pre-downloaded. By analyzing actual usage patterns, the system optimizes the set of packages to pre-load, ensuring fast execution while minimizing unnecessary download resource consumption.
Solution Approach 2:
The system changes the parameters of package selection based on user behavior analysis. Different users or different usage scenarios result in different sets of pre-downloaded packages, optimizing both execution speed and resource consumption for each specific case.
3Measurement precision
If dependency analysis is performed, then the accuracy of package selection is improved, but the system complexity increases
Solution Approach 1:
The dependency analysis system is segmented into modular components: user behavior analysis module, package dependency analysis module, and package selection module. This segmentation improves measurement precision for package selection while managing system complexity through modular design, where each segment handles a specific aspect of the analysis.
Data Source
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AI summary
The present application discloses a mini app processing method, apparatus, device and a storage medium, and relates to the field of cloud computing and mini app processing. The specific implementation scheme includes: receiving a mini app pre-download request sent by a host application, where the mini app pre-download request is generated by the host application based on user browsing data, and at least includes a mini app page open command; parsing the mini app page open command, and obtaining download information required to execute the mini app page open command; and sending the download information to the host application for the host application to perform mini app pre-download. In this way, waiting time for users can be reduced and the user experience can be improved.