Universal Module Model for Data Storage Systems
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Solution Overview
Problem
Developing software for data storage devices is challenging due to distinct constraints and the lack of a common interface across different hardware and software platforms, leading to static and non-expandable programming environments that hinder component integration and portability.
Innovation Solution
A computer-implemented method and medium for generating an operating system-specific module with four entry points (load, unload, start, and quiesce handlers) that allows dynamic loading and unloading, enabling platform-independent execution across various data storage systems by analyzing a code module to create an operating system-specific skeleton and managing module states within a container module database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a code module is designed to be platform-independent, then portability across different operating systems is improved, but the ability to execute on specific operating systems with their unique constraints deteriorates
Solution Approach 1:
The code module is segmented into four distinct entry points (load handler, unload handler, start handler, quiesce handler), each responsible for specific operations. This segmentation allows the module to be systematically adapted to different operating systems while maintaining core functionality, resolving the contradiction between portability and execution reliability.
Solution Approach 2:
The module is designed with universal entry points that can be invoked across multiple operating systems. The same four handlers serve multiple purposes: loading, unloading, starting, and quiescing operations are standardized interfaces that work across different OS platforms, enabling both portability and reliable execution through consistent behavior.
2Adaptability or versatility
If dynamic loading and unloading of modules is enabled, then adaptability to different environments is improved, but system complexity increases
Solution Approach 1:
The module structure is pre-configured with four entry points before execution. The load, unload, start, and quiesce handlers are prepared in advance with standardized signatures and behaviors. This preliminary structuring enables dynamic loading and unloading operations without introducing complexity during runtime, as the framework simply invokes pre-defined handlers.
3Reliability
If state management for modules is implemented, then reliability of module operations is improved, but programming complexity increases
Solution Approach 1:
The module manages its own state transitions through the four handlers. The load handler initializes the module, the start handler begins execution, the quiesce handler prepares for shutdown, and the unload handler cleans up. This self-service approach ensures reliable state management without requiring external intervention or complex programming logic from the developer.
Data Source
AI summary
Described are techniques for processing a module. A module is generated for execution on a target operating system. The module includes four entry points and code portions associated with each of said four entry points. The four entry points correspond to four handlers invoked at different processing points in connection with a state associated with said module. The four handlers include a load handler, an unload handler, a start handler, and a quiesce handler. First processing is performed in connection with the module. The first processing including at least one of dynamically loading the module, dynamically unloading the module, starting module-specific processing performed by the module, and issuing a request to commence preparation for unloading the module. An appropriate one or more of the four handlers are invoked in accordance with the first processing performed.