A simplified, distributed version of the Spanning Tree Protocol for arbitrary layer 2 topologies.
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Updated
Jul 1, 2023 - Python
A simplified, distributed version of the Spanning Tree Protocol for arbitrary layer 2 topologies.
Simple Timed I/O Automata Simulator for Distributed Algorithms
Abstractions of components of a distributed system to simulate implementations of distributed algorithms.
A repository for complex networks centrality metrics.
This repository contains the experiments conducted in the paper: "Distributed Clustering via LSH Based Data Partitioning" (ICML 2018) with synthetic data. This implementation is not a distributed implementation. It is a single machine implementation intended to demonstrate the properties of this technique and approximation results.
Network Time Protocol clock synchronization algorithm
A distributed version of the Bellman-Ford algorithm for calculating routing paths in a network.
Fully distributed orchestration for heterogeneous services
Peer-to-peer lookup protocol
When working with Distributed Systems we want to achieve truly distributed solutions. There might not be a central component that regulates the whole network. Sometimes, however, a system might need to be assigned priority over other systems. In a truly distributed system, the priority of each component is not globally known. Luckily there exist…
Python implementation of distributed wave and election algorithms taught in CSC8103 at Newcastle University
This project implements three distributed sorting algorithms on a line network using basic primitive operations (send, receive, and compute) in a discrete event simulator using sockets.
Implementation of Lelann's token-ring algorithm, supporting process failures and insertion/removal of processes.
A distributed Neural Network with synchronous and asynchronous approaches and ring all-reduce implementation
Implementation of some distributed algorithms
A collection of parallel machine learning algorithms implemented using MPI for distributed computing, including parallel gradient descent, model evaluation, and K-means clustering.
Implementation of Atomic Broadcast using Paxos for the course of Distributed Algorithms at Università della Svizzera Italiana (USI). Professor: Fernando Pedone, TAs: Eliã Batista and Lorenzo Martignetti
Code used in experimental evaluation of distributed Clarkson algorithms for solving LP-type problems
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