C#

The Supervisor-Worker pattern delegates complex tasks to multiple worker threads managed by a supervisor thread. The supervisor distributes work, monitors worker status, and handles results or failures. This improves responsiveness and utilizes multi-core processors.

This C# implementation uses a Supervisor class to …

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The Master-Slave pattern distributes work to worker nodes (Slaves) from a central coordinator (Master). The Master maintains the overall task and divides it into subtasks, assigning them to available Slaves. Slaves process their assigned tasks and return results to the Master, which aggregates them. This pattern …

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The Publish-Subscribe (Pub/Sub) pattern decouples message publishers from subscribers. Publishers don’t know who their subscribers are, and subscribers only know about the publishers through a central message broker (in this case, a simple event aggregator). This promotes loose coupling and extensibility.

This …

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The Blackboard pattern is a computational architecture for solving problems that don’t have a pre-defined solution sequence. It consists of several knowledge sources (KSs) that independently examine a shared data structure (the blackboard) and contribute to the solution when they have relevant information. A …

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The Pipes and Filters pattern breaks down a larger processing task into a series of independent, reusable processing stages (filters) connected by channels (pipes). Each filter performs a specific transformation on the data it receives, passing the result to the next filter in the pipeline. This promotes modularity, …

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The Cluster-based Architecture pattern divides a complex problem into smaller, independent clusters, each responsible for a specific sub-problem. These clusters communicate through well-defined, minimal interfaces. This enhances modularity, testability, and allows for independent scaling and modification of individual …

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The Shared-Nothing architecture is a distributed computing model where each node in the system has its own private resources – CPU, memory, and disk – and communicates with other nodes solely through explicit network messages. This avoids contention and bottlenecks associated with shared resources. This C# example …

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The Message Broker pattern decouples application components by enabling them to communicate through intermediary message queues. Components don’t need to know about each other; they simply send and receive messages. This promotes scalability, resilience, and flexibility.

This C# example uses a simple …

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The Space-Based Architecture pattern decouples application logic by using a central “space” (often a dictionary or similar data structure) to store application state and a set of independent “agents” that react to changes in that space. Agents subscribe to specific state changes and perform …

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The Event-Driven Architecture (EDA) decouples system components by allowing them to communicate through events. Components (event producers) emit events when a state change occurs, and other components (event consumers) subscribe to these events and react accordingly, without needing direct knowledge of the producers. …

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