Application Startup Control via Segmented Code Loading
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Solution Overview
Problem
Applications face performance issues due to the need to load the entire application into memory during startup, leading to increased memory load and delays, as existing technologies do not effectively manage memory utilization and startup time.
Innovation Solution
The solution involves logical segmentation of application code into pages, with code files generated to include specific elements, dependencies, and entry points, allowing for on-demand loading and execution, reducing memory load and startup time by isolating, sharing, and composing pages as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire application is loaded into memory during startup, then the application can operate correctly, but memory utilization increases and startup time is delayed
Solution Approach 1:
The application code is segmented into multiple pages, where only the startup page is loaded into memory initially. Other pages are loaded on-demand when needed, reducing initial memory utilization and startup time while maintaining application correctness through progressive loading of required code segments.
2Reliability
If the entire application is loaded into memory during startup, then the application can operate correctly, but memory load increases
Solution Approach 1:
The application code is divided into multiple page segments that are loaded progressively. Only the necessary startup page is loaded into memory initially, reducing the quantity of code in memory while ensuring application correctness through on-demand loading of additional pages when required.
3Loss of time
If code files are loaded on-demand based on page relationships, then memory utilization is reduced and startup time is reduced, but system complexity increases
Solution Approach 1:
The system performs preliminary analysis to determine page relationships and dependencies before runtime. This pre-computed relationship information is stored and used during startup to efficiently load only the necessary code files, reducing startup time and memory utilization while managing system complexity through advance preparation.
Data Source
AI summary
In some examples, application startup control may include determining a relationship between a first page and a second page of an application, and generating a first code file for the first page based upon the determined relationship. Application startup control may further include generating a second code file for the second page. The first code file may include code to load the second code file in response to the first code file being loaded and executed.