Space-based architecture

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Description

The Space-Based Architecture design pattern is aimed at addressing scalability and concurrency issues by minimizing factors that limit application scaling. This pattern is ideal for applications with high user load and variable concurrent user volumes. The key components include processing units and virtualized middleware, with the primary aim of distributing and replicating data in-memory across processing units, eliminating the traditional database bottleneck.

Main Elements of the Pattern

1. Processing Units: These contain application components, in-memory data grids, optional asynchronous persistent stores for failover, and a data replication engine. They can be dynamically started or stopped based on user load.
2. Virtualized Middleware: This component includes:
   • Messaging Grid: Manages request routing to available processing units.
   • Data Grid: Manages data replication across processing units.
   • Processing Grid (optional): Manages distributed request processing across different processing units.
   • Deployment Manager: Monitors load conditions to dynamically scale processing units up or down.

References

• Space-Based Architecture
• Richards, Mark. "Software Architecture Patterns". O’Reilly Media, 2015.

Acceptance Criteria

1. Implementation of Processing Units: Develop processing units that include application modules, in-memory data grids, and data replication engines.
2. Middleware Components: Implement virtualized middleware components such as messaging grid, data grid, and deployment manager to manage request routing, data replication, and dynamic scaling.
3. Scalability and Performance Testing: Conduct extensive testing to ensure the system can handle high concurrency and variable loads, achieving near-infinite scalability and high performance.

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