Distributed Computing

This repository contains the code for the Distributed Computing course at the University of Genoa. The course is part of the Master's degree in Computer Science.

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Assignment 1 - MMN

The MMN Queue is an integral part of our distributed computing project. It is designed to manage tasks in a multi-server system, ensuring efficient distribution and execution of tasks. First of all, MM1 code is converted to MMN one. MMN stands for Multi-Server Multi-Queue. The MMN Queue is a system that manages tasks in a multi-server. In this project, we have implemented a strategy called supermarket strategy. The supermarket strategy is a strategy that assigns tasks to the server with the shortest queue. Also another strategy is implemented called the round-robin strategy. The round-robin strategy is a strategy that assigns tasks to the servers in a round robin fashion.
The project has been implemented in Python, and has two main modules: 'mmn_queue.py' and 'discrete_event_sim.py'. The 'mmn_queue.py' module contains the MMNQueue class, which is responsible for managing the tasks in the system. The 'discrete_event_sim.py' module contains the DiscreteEventSimulator class, which is responsible for simulating the system and generating the results.

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Assignment 2 - Erasure Coding

The Erasure Coding project is a distributed computing project that implements the erasure coding technique to ensure data reliability and fault tolerance. The project has two different configuration files: 'p2p.cfg' and 'client_server.cfg'. The 'p2p.cfg' file contains the configuration for the peer-to-peer network, while the 'client_server.cfg' file contains the configuration for the client-server network. Another strategy is added to the project called selfish node strategy. The selfish node strategy is a strategy that only prefer to upload its own data to the network. The project has been implemented in Python, and has two main modules: 'storage.py' and 'discrete_event_sim.py'.

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