High-performance, high-scalability distributed computing for the BEAM.

A lightweight library that provides group member discovery, status dissemination, and failure detection using the SWIM epidemic protocol.

log anomaly detection toolkit including DeepLog

ScaleCube Cluster is a lightweight Java VM implementation of SWIM: Scalable Weakly-consistent Infection-style Process Group Membership Protocol. features cluster membership, failure detection, and gossip protocol library.

Bambu Lab Home Assistant Spaghetti Detection Integration.

Rapid is a scalable distributed membership service

3DPrintSaviour - Automatic 3D Print Failure Detection

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

An adaptive accrual node failure detection library for Elixir and Erlang

A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)

An Erlang implementation of the SWIM protocol

Scalabe Weakly-consistent Infection-style Process Group Membership Protocol

This is a sample code repository of the power transformer's health state (index) analysis or prediction by the regression model for experiment and learning purposes.

Failure detection module for 3D printing using Computer Vision

Failure as a Service. Provides many misbehaviors... as a Service.

Phi Accural Failure Detector for Go

Adaptive Accrual Failure Detector

This repository contains a simple Hadoop-like (MapReduce) distributed computing platform implemented in Java. It is extended from a course project at UIUC awarded the best Java version implementation and it's open-sourced for reference.

Automated Testing and Adaptive Detection of **Slow Faults** in Distributed Systems

This repository contains the analysis of predictive and proactive maintenance in power systems. It includes fault simulation, ML fault prediction, thermographic infrared images analysis from diverse power systems. The aim of the project is to detect failure in the equipment through Computer Vision and Machine Learning methods.