zwitschi
ad56c3c610
Add architecture documentation and functional requirements for Calminer project - Created Building Block View (05_building_block_view.md) detailing system architecture and component interactions. - Developed Runtime View (06_runtime_view.md) outlining key user scenarios and interactions within the system. - Established Deployment View (07_deployment_view.md) describing the infrastructure and mapping of building blocks to deployment components. - Added README.md for architecture documentation structure. - Introduced functional requirements (FR-001 to FR-010) covering scenario management, data import/export, reporting, user management, and collaboration features. - Included templates for documenting requirements to ensure consistency across the project.
26 lines
1.5 KiB
Markdown
26 lines
1.5 KiB
Markdown
# Functional Requirement FR-006: System Scalability
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## Description
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The system shall be designed to scale efficiently to accommodate increasing amounts of data and user load. This includes the ability to add resources (e.g., servers, storage) as needed to maintain performance and responsiveness.
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## Rationale
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Scalability is essential for ensuring that the system can grow and adapt to changing demands over time. By building a scalable architecture, the system can support larger datasets, more users, and increased complexity without sacrificing performance.
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## Acceptance Criteria
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- The system can handle a specified number of concurrent users without degradation in performance.
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- The system can process large volumes of data efficiently, with defined performance benchmarks.
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- The architecture supports horizontal scaling (e.g., adding more servers) and vertical scaling (e.g., upgrading existing hardware).
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- The system includes monitoring tools to track performance and resource utilization.
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- The system can automatically adjust resources based on current demand (e.g., auto-scaling).
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- Documentation is provided to guide administrators in scaling the system effectively.
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## Dependencies
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- Cloud infrastructure or on-premises hardware that supports scaling.
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- Load balancing solutions to distribute user traffic and workload.
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- Monitoring and analytics tools to track system performance and identify bottlenecks.
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- Integration with other functional requirements, such as data storage and processing capabilities.
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