Rust

The Supervisor-Worker pattern decouples task management (the Supervisor) from task execution (the Workers). The Supervisor distributes work to a pool of Workers, typically via a channel. This allows for concurrency, resilience (workers can fail independently), and scalability.

This Rust implementation uses std::thread …

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The Master-Slave pattern involves one component (the Master) controlling and coordinating the actions of one or more other components (the Slaves). The Master distributes tasks to the Slaves, and the Slaves perform those tasks, potentially returning results to the Master. This pattern is useful for parallel processing …

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The Publish-Subscribe (Pub/Sub) pattern decouples message senders (publishers) from message receivers (subscribers). Publishers emit messages to a topic without knowing who, if anyone, is listening. Subscribers express interest in specific topics and receive messages published to those topics. This promotes loose …

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The Blackboard pattern is a computational problem-solving technique where multiple independent knowledge sources (agents) collaborate to solve a complex problem. A shared data structure, called the blackboard, holds the evolving problem state. Agents examine the blackboard, and if their knowledge applies, they modify …

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The Pipes and Filters pattern processes a stream of data through a series of independent processing components (filters) connected by channels (pipes). Each filter performs a specific transformation on the data and passes the result to the next filter. This promotes modularity, reusability, and simplifies complex data …

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The Cluster-based Architecture pattern distributes tasks across a collection of independent worker nodes (a cluster) to achieve parallelism and potentially fault tolerance. Each worker handles a subset of the overall workload. This example demonstrates a simple cluster for calculating the sum of squares of numbers. A …

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The Shared-Nothing architecture is a distributed computing model where each node in the system has its own private memory and communicates with other nodes solely via message passing. This avoids contention and locking issues inherent in shared-memory approaches.

This Rust code demonstrates a simplified Shared-Nothing …

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The Message Broker pattern decouples application components by enabling them to communicate asynchronously through a central message intermediary, the broker. This promotes scalability and resilience. The Rust implementation uses channels (specifically mpsc - multiple producer, single consumer) to simulate the broker. …

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The Space-Based Architecture pattern decouples components of a system by using a message bus (or “space”) as the central communication hub. Components, known as “agents,” publish and subscribe to messages on this bus without direct knowledge of each other. This promotes loose coupling, …

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The Event-Driven Architecture (EDA) decouples system components by having them communicate through events. Components (event producers) emit events without knowing who will handle them, and other components (event consumers) subscribe to events they’re interested in. This promotes scalability and flexibility. …

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