Software Module Start-Up Sequence Optimization
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Solution Overview
Problem
Modern computing systems with hundreds of modules face inefficiencies and resource challenges during system start-up due to the conventional practice of initializing all modules, leading to significant time and resource consumption, with a need for more controlled and efficient start-up processes.
Innovation Solution
Generating and utilizing start-up data, including a dependency-matrix to determine and select optimal start-up sequences for modules based on interdependencies and criteria such as maximum start-up time, allowing for selective initialization of modules likely to be used, thereby reducing overall start-up time and increasing control over the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all modules are started-up during system initialization, then system reliability is improved by ensuring all components are available, but start-up time and resource consumption increase significantly
Solution Approach 1:
The patent segments the module start-up process into multiple phases based on dependency relationships. Modules are divided into groups that can be started in parallel when their dependencies are satisfied, rather than starting all modules sequentially. This segmentation allows the system to maintain reliability by ensuring all necessary modules are started while reducing overall start-up time through parallel execution of independent module groups.
Solution Approach 2:
The patent implements a dynamic start-up sequence determination mechanism that automatically adjusts the start-up order based on real-time dependency analysis. The system dynamically identifies which modules can be started next by evaluating satisfied dependencies, allowing flexible adaptation to different system states and configurations. This dynamic approach optimizes start-up time while ensuring all required modules are initialized.
2Adaptability or versatility
If all modules are initialized during start-up, then complete system functionality is ensured, but resource consumption and processing overhead increase
Solution Approach 1:
The patent applies partial action by determining and executing only the necessary module start-up sequences required for specific system operations rather than initializing all modules uniformly. The dependency-based selection mechanism identifies the minimum set of modules needed for current operational requirements, reducing unnecessary resource consumption while maintaining adequate system functionality for the intended use case.
Solution Approach 2:
The system changes the operational parameters of module initialization by using dependency satisfaction levels and operational context to dynamically adjust which modules are started. Rather than a fixed all-or-nothing approach, the system modifies start-up parameters based on real-time system state, operational requirements, and dependency analysis, optimizing resource usage while preserving necessary functionality.
3Ease of manufacture
If a fixed start-up sequence is used for all modules, then implementation simplicity is maintained, but flexibility and control over start-up processes are reduced
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically determines optimal start-up sequences by analyzing module dependencies and operational requirements without requiring manual configuration or intervention. The dependency-based selection algorithm autonomously identifies appropriate start-up orders, providing both simplicity of implementation (no complex manual sequencing needed) and flexibility (adaptive to different system states and requirements).
Data Source
AI summary
Modules are started-up for a computing system based on start-up data. Start-up data can, for example, include a dependency-matrix indicating start-up dependencies of various modules. Start-up sequences can be determined based on the start-up data and a start-up sequence can be subsequently selected based on one or more criteria. The selected start-up sequence need not include all modules, yet it can list most modules that are likely to be used in or by a computing system. In addition, software (or application) start-up can be controlled based on various criteria. As a result, software start-up is performed more efficiently and more control over system start-up is exercised.