Containerized Generic Function Inputs for Automated App Installation
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Solution Overview
Problem
Manual installation of applications on computing devices is resource-intensive and prone to errors due to unknown or incorrectly configured target environments, leading to delays and large footprints.
Innovation Solution
A container-based framework utilizing a processor to create customizable containers with generic functions, which receive configuration information to automate installation, reduce resource consumption, and enable multi-thread operation, thereby minimizing human errors and reducing installation time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual installation processes are used to address compatibility issues, then installation accuracy can be maintained, but resource consumption increases and installation time is extended
Solution Approach 1:
The installation system performs self-diagnosis and self-configuration by automatically detecting target environment characteristics and selecting appropriate installation modes without requiring manual intervention. The processor automatically analyzes compatibility information and executes the appropriate installation mode, enabling the system to serve itself and eliminating the need for resource-intensive manual operations.
Solution Approach 2:
The system changes operational parameters by dynamically selecting between different installation modes (first installation mode for incompatible environments, second installation mode for compatible environments) based on detected environment characteristics. This parameter change allows the system to adapt to different conditions and achieve both accuracy and efficiency automatically.
2Manufacturing precision
If manual compatibility checking is performed during installation, then installation precision is improved, but installation time increases
Solution Approach 1:
The system performs preliminary detection of target environment characteristics and preliminary selection of installation modes before the actual installation process begins. By pre-analyzing the environment and determining the appropriate installation mode in advance, the system avoids time-consuming manual compatibility checking during the installation execution phase while maintaining high precision.
Solution Approach 2:
The patent replaces manual mechanical compatibility checking with an automated electronic detection and decision-making system. The processor automatically detects environment characteristics, analyzes compatibility information, and selects installation modes, substituting the manual mechanical process with an automated electronic system that achieves both precision and speed.
3Productivity
If automated installation processes are implemented, then productivity is improved, but adaptability to different computing device configurations decreases
Solution Approach 1:
The installation system is designed to be dynamic rather than static, automatically adapting its behavior based on detected environment characteristics. The system dynamically selects between different installation modes (first installation mode and second installation mode) depending on the target computing device configuration and compatibility information, enabling both high productivity and strong adaptability.
Solution Approach 2:
The automated installation system is designed with multi-functionality to handle diverse computing device configurations. It can detect various environment characteristics, analyze different compatibility information formats, and execute multiple installation modes, making the single automated system universally applicable across different platforms while maintaining high efficiency.
4Reliability
If comprehensive environment detection is performed, then installation reliability is improved, but device complexity increases
Solution Approach 1:
The patent extracts and separates the detection and decision-making functions into a standalone automated installation system that operates independently from the target computing device. By taking out the complexity of environment detection and analysis into a separate system, the target device's complexity is reduced while the automated system performs comprehensive detection to ensure installation reliability.
Data Source
AI summary
According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that when executed by the processor cause the processor to create a container in a container runtime environment. The container may include a plurality of generic functions for installation of an application on a computing device. The processor may receive configuration information correlated to the installation of the application. The configuration information may be correlated to a function among the plurality of generic functions. The processor may generate an input for the correlated function based on the configuration information. The correlated function may execute at the computing device based on the generated input. Based on results of an execution of the correlated function at the computing device, the processor may output a log of the correlated function.