Common Software Environment for Storage Platform Independence
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Solution Overview
Problem
Current programming environments for data storage devices lack flexibility and platform independence, leading to static and non-expandable solutions that complicate software development and integration across different storage systems, requiring significant efforts and duplication of work.
Innovation Solution
A common software environment (CSE) is introduced, leveraging existing platform capabilities to provide a scalable and unified architecture for integrated management of storage systems, enabling platform independence and facilitating flexible development across various storage platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static programming environment is used for data storage devices, then system stability is maintained, but flexibility and platform independence are reduced
Solution Approach 1:
The patent introduces a universal programming environment that provides a common set of APIs and data structures that can be used across multiple storage device types and platforms. This common environment enables code written once to work on different storage systems without requiring platform-specific implementations, thereby achieving platform independence while managing complexity through standardization.
Solution Approach 2:
The programming environment is segmented into a common core that provides universal functionality and platform-specific extensions that handle hardware details. This segmentation allows the common core to maintain stability and provide platform independence, while platform-specific code can be modularly added or removed without affecting the entire system.
2Productivity
If existing programming environments are used, then ease of operation is maintained, but development efficiency and scalability are reduced
Solution Approach 1:
The patent pre-defines a comprehensive set of common data structures, APIs, and communication protocols before development begins. This preliminary structuring of the programming environment allows developers to work with pre-established patterns and conventions, reducing the time needed for development while maintaining ease of operation through familiar interfaces.
Solution Approach 2:
The patent merges common functionality across different storage systems into a unified programming environment. By combining shared data structures, common communication mechanisms, and integrated error handling into a single cohesive framework, the system improves development efficiency through code reuse while maintaining ease of operation through a consistent developer experience.
3Adaptability or versatility
If vendor-specific storage systems are used, then system reliability is maintained, but adaptability and integration capability are reduced
Solution Approach 1:
The patent introduces a common programming environment as an intermediary layer between application software and vendor-specific storage systems. This intermediary provides standardized interfaces that abstract away hardware differences, allowing reliable vendor-specific systems to be integrated with general-purpose applications through a common set of APIs and data structures without compromising either reliability or adaptability.
Solution Approach 2:
The common programming environment serves as a universal interface that can interact with multiple vendor-specific storage systems through standardized protocols. This universality enables integration capability across different storage vendors while maintaining reliability by providing consistent, well-defined communication mechanisms that work across all supported systems.
4Adaptability or versatility
If multiple storage systems from different vendors are integrated, then versatility is improved, but device complexity and management difficulty increase
Solution Approach 1:
The patent segments the management of multiple storage systems into a common core that handles universal tasks and vendor-specific modules that handle hardware details. This segmentation reduces overall system management complexity by separating concerns, allowing administrators to manage diverse storage systems through a unified interface while maintaining the ability to handle vendor-specific requirements through modular components.
Solution Approach 2:
The programming environment applies local quality by providing customized data structures and APIs tailored to specific storage system requirements while maintaining a common framework. This allows complex integration scenarios to be managed through localized optimizations without affecting the overall system architecture, reducing management complexity through structured heterogeneity.
Data Source
AI summary
Described are techniques for communicating between one or more producers and one or more consumers. A first consumer of an event queue registers for notification regarding occurrences of one or more events. A producer of the event queue posts one or more notifications to one or more consumers of the event queue regarding one or more occurrences of one or more events. Each of the consumers receive notification regarding occurrences of events for which said each consumer is registered. The first consumer retrieves posted event notifications regarding events for which said first consumer is registered. If the first consumer is executing in user space and an event notification list to which said event notifications for said first consumer are posted is located in shared memory, said first consumer retrieves said posted event notifications without proxying into kernel space.