There are 1 repository under failure-detection topic.
A lightweight library that provides group member discovery, status dissemination, and failure detection using the SWIM epidemic protocol.
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.
Rapid is a scalable distributed membership service
3DPrintSaviour - Automatic 3D Print Failure Detection
Bambu Lab P1 Home Assistant Spaghetti Detection Integration.
A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
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.
Phi Accural Failure Detector for Go
Failure as a Service. Provides many misbehaviors... as a Service.
Failure detection module for 3D printing using Computer Vision
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.
AWS Failure Error Warning Termination Notification Framework is a framework for AWS cloud to notify for failures, errors, warnings and terminations for various AWS services and can be deployed using Terraform and AWS CloudFormation.
Subset simulation is a method of estimating low probability events. Here I adapt SS to perform well with correlated inputs.
Implementation of heartbeat gossip distributed membership protocol over UDP in Rust
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.
Single-master group membership framework with failure detection useful for stateless partitioning
Efficient and Stable Peer-To-Peer Distributed Hash Table System
Amazon Dynamo-style distributed key-value storage with partitioning, replication, and failure handling
The project works with aerospace component data, high number of part removals end up being unscheduled and that results in less flight time for the aircraft, this project deals with the historical data and tries to predict the parts failure on component level using survival analysis to avoid the mechanical induced disruptions.
Client and service implementation for distributed computation
Lightweight spaghetti detection program for self hosting on Raspberry-pi/single-board-computers
Failure detection library based on gossip protocol