Pinned Repositories
adaptive-moms
carts
Carts service for microservices-demo application
catalogue
comparative-analysis-microservices-prediction
This study compares popular Machine Learning (ML), Deep Learning (DP), and statistical algorithms for forecasting microservice time series.
control
front-end
Front-end application for ALL the microservices
midarch
payment
selfadaptive
Course - Adaptive systems
user
The users microservice.
Research Group on Foundations and Applications of Distributed Systems's Repositories
gfads/comparative-analysis-microservices-prediction
This study compares popular Machine Learning (ML), Deep Learning (DP), and statistical algorithms for forecasting microservice time series.
gfads/midarch
gfads/adaptive-moms
gfads/carts
Carts service for microservices-demo application
gfads/catalogue
gfads/control
gfads/front-end
Front-end application for ALL the microservices
gfads/microservices-demo
Deployment scripts & config for Sock Shop
gfads/microservices-demo-devops
DevOps stuff for https://microservice-demo.github.io (e.g.: docker, compose, kubernetes configs and manifests)
gfads/microservices-time-to-start
gfads/mps-methodology
This methodology is a project that proposes applying the Multiple Preditors System (MPS) to forecasts time series extracted from Microservice-Based Applications (MBAs).
gfads/orders
Orders service for Microservices Demo application
gfads/payment
gfads/queue-master
A microservices-demo service that processes the orders queue
gfads/selfadaptive
Course - Adaptive systems
gfads/shipping
Shipping service for microservices-demo application
gfads/siege-load-test
Siege script for load testing Sock Shop microservices app.
gfads/spring-cloud-sleuth
Distributed tracing for spring cloud
gfads/user
The users microservice.
gfads/controllers
Controllers implemented in C++
gfads/PMA
gfads/similarityandcompetencemeasures
gfads/univariate-multivariate-prediction
This repository contains all the data for reproducing the results of the paper entitled "Univariate vs. multivariate prediction for containerised applications auto-scaling:: a comparative study".