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DistributedSystems_projects

A collection of small projects and experiments exploring different distributed systems technologies and paradigms.

Each project focuses on a specific framework or communication model, providing hands-on implementations of distributed computing concepts such as message passing, stream processing, parallel computation, and event-driven architectures.


Technologies

Akka

Experiments with the actor model for building concurrent and distributed applications using message-driven architectures.

Kafka

Projects exploring distributed event streaming, producer-consumer patterns, and real-time data pipelines.

Spark

Data processing experiments using distributed computing for large-scale data analysis.

MPI

Parallel computing programs using message passing across multiple processes.

Contiki-NG

Experiments with distributed systems in IoT environments, using lightweight networking protocols for constrained devices.


Purpose

The goal of this repository is to explore different distributed computing models and understand how various frameworks approach scalability, communication, and fault tolerance.

These projects were developed as part of coursework and personal experimentation while studying distributed systems.


Author

Giacomo Rigo
MSc Computer Science & Engineering — Politecnico di Milano

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