Software Architecture Patterns

The space-based architecture pattern is a complex and expensive pattern to implement. It is a good architecture choice for smaller web-based applications with variable load (e.g., social media sites, bidding and auction sites). However, it is not well suited for traditional large-scale relational database applications with large amounts of operational data

There are two primary components within this architecture pattern: a processing unit and virtualized middleware

ucts help to address these issues, the fact remains that scaling out a normal application for extreme loads is a very difficult proposition.
The space-based architecture pattern is specifically designed to address and solve scalability and concurrency issues. It is also a useful architecture pattern for applications that have variable and unpredictable concurrent user volumes. Solving the extreme and variable scalability issue architecturally is often a better approach than trying to scale out a database or retrofit caching technologies into a non-scalable architecture.
Pattern Description

The space-based pattern (also sometimes referred to as the cloud architecture pattern) minimizes the factors that limit application scaling. This pattern gets its name from the concept of tuple space, the idea of distributed shared memory. High scalability is achieved by removing the central database constraint and using replicated in-memory data grids instead