Dynamic Server Configuration via Dependency Discovery
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Solution Overview
Problem
Configuring and initializing combinations of computing devices to provide various server functions is complex due to dependencies among applications and resources, with existing solutions lacking provisions to ease these dependencies and requiring corresponding changes across multiple devices during updates.
Innovation Solution
A combination of virtual machine environments, application software, and dynamic configuration software is used to perform tests and generate databases and catalogs that specify execution requisites, allowing for automated determination and tailored configuration of application routines across multiple computing devices, minimizing the need for custom scripts and ensuring correct order of initialization and restart based on dependencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration and initialization methods are used for server functions, then flexibility and control are maintained, but the complexity of configuration increases and error-prone manual processes are required
Solution Approach 1:
The system performs self-configuration by automatically discovering application routines, identifying their execution requisites, and determining initialization order without manual intervention. The computing devices autonomously generate and execute configuration scripts based on detected dependencies among applications.
Solution Approach 2:
The system dynamically changes configuration parameters by detecting the actual state of computing devices and application routines, then automatically adjusting initialization sequences and resource allocations based on discovered dependencies and requisites.
2Productivity
If dependencies among applications are not automated, then manual control is possible, but the time and effort required for configuration and initialization increase significantly
Solution Approach 1:
The system performs preliminary discovery of application routines and their execution requisites before initialization begins. By pre-identifying dependencies and generating configuration scripts in advance, the system eliminates time-consuming manual analysis and setup during the actual initialization process.
Solution Approach 2:
The system continuously monitors the initialization process and adjusts execution sequences based on feedback from detected dependencies and requisites. This real-time feedback mechanism ensures optimal initialization ordering and automatically handles any deviations from the planned sequence.
3Adaptability or versatility
If custom scripts are created for each application routine, then specific requirements are met, but the effort and complexity of creating and maintaining these scripts increase
Solution Approach 1:
The system extracts the script creation task from manual operations by automatically generating configuration scripts based on discovered application requisites and dependencies. This extraction eliminates the need for manual script writing while preserving application-specific customization through automated script generation.
Solution Approach 2:
The system creates a universal configuration mechanism that automatically adapts to different application routines and their specific requirements. A single automated system handles diverse application types by dynamically generating appropriate configuration scripts based on detected dependencies and requisites, eliminating the need for separate manual scripting processes.
4Stability of the object's composition
If corresponding changes are made across multiple devices during updates, then consistency is maintained, but the complexity and time required for updates increase
Solution Approach 1:
The system maintains consistency across multiple devices by continuously monitoring configuration states and automatically detecting changes. When updates are applied to one device, the system provides feedback to identify and coordinate corresponding changes in other devices, ensuring synchronized updates without manual intervention.
Solution Approach 2:
Each computing device performs self-configuration and automatically detects when it needs to be updated based on changes in application routines or dependencies. The system autonomously coordinates updates across the network, with devices automatically applying changes and verifying consistency without requiring centralized manual management.
Data Source
AI summary
An apparatus includes a discovery component to identify a first application routine within a storage for execution, to identify execution of a remote application routine within a node device as a first requisite for execution of the first application routine from a first application requisites data, and to provide indications of storage of the first application routine and the first requisite to a control master; a start component to restart an earlier started execution of the first application routine in response to receipt of an indication that execution of the remote application routine within the node device has been restarted in accordance with a catalog received from the control master, the catalog including indications of the first and remote application routines and an indication of the first requisite; and a status component to provide an indication to the control master of the restart of execution of the first application routine.