self-adaptive-systems

There are 35 repositories under self-adaptive-systems topic.

  • kas-lab/suave

    An Exemplar for Self-Adaptive Underwater Vehicles performing pipeline inspection

    Language:Python335899
  • scafi/scafi

    scafi (Scala with computational Fields): a Scala framework for Aggregate Computing

    Language:Scala2433816
  • ppgia-unifor/kubow

    An architecture-based self-adaptation service for Kubernetes

    Language:Java21404
  • Licoy/visamt

    Vue+iView的一套自适应后台管理基础模板

    Language:JavaScript11304
  • SOM-Research/selfadaptive-IoT-DSL

    A domain-specific language (DSL) for modeling multi-layered and self-adapting IoT systems

    Language:JetBrains MPS851
  • bezzad/NasaAntsSimulation

    Csharp Simulation for NASA ANTS project

    Language:C#520
  • thomas-vogel/mRUBiS

    mRUBiS: An Exemplar for Model-Based Architectural Self-Healing and Self-Optimization

    Language:Java5301
  • davimonteiro/lotus-runtime

    A Tool for Runtime Monitoring and Verification of Self-adaptive Systems

    Language:Java4202
  • Photinia-Milk/Dolo-Back-End

    A course selection website with dynamic self-adapting workflow system developed by Vue, Spring Boot and Mysql

    Language:Java4231
  • PraneethJain/AutoVCO

    ML-Driven Adaptive Voltage Controlled Oscillator

    Language:C4101
  • pooyanjamshidi/robot_control

    A set of controllers and actuators that run, control, interface the ros enabled robots, as a part of DARPA BRASS project

    Language:Python3302
  • sarpreetsingh3131/4dv50e

    master-thesis

    Language:Java3221
  • agusticonesagago/Evaluation-of-methods-to-combine-predictions-from-ensemble-learning-in-multivariate-forecasting

    This project studies different possibilities to make good predictions based on machine learning algorithms, but without requiring great theoretical knowledge from the users. Moreover, a software package that implements the prediction process has been developed. The software is an ensemble method that first predicts a value taking into account different algorithms at the same time, and then it combines their results considering also the previous performance of each algorithm to obtaina final prediction of the value. Moreover, the solution proposed and implemented in this project can also predict according to a concrete objective (e.g., optimize theprediction, or do not exceed the real value) because not every prediction problem is subject to the same constraints. We have experimented and validated the implementation with three different cases. In all of them, a better performance has been obtained in comparison with each of the algorithms involved, reaching improvements of 45 to 95%.

    Language:Jupyter Notebook2201
  • edithzavala/sacre-sv

    SACRE (Smart Adaptation through Contextual REquirements)

    Language:Java2100
  • gesad-lab/dome

    DoME Experiment is a type of no-code tool, that implements a reference architecture for creating information systems from the automated evolution of the domain model, using NLP, Large Language Models and Self Adaptive Systems.

    Language:Python22311
  • KAIST-SE-Lab/PASTA

    PASTA: an efficient proactive adaptation approach based on statistical model checking for self-adaptive systems

    Language:Java2200
  • Echtzeitsysteme/splc2018

    Optimal Reconfiguration of Dynamic Software Product Lines Based on Performance-Influence Models

    Language:Shell170
  • jvdd/DLASeR

    Code and results for the DLASeR and DLASeR+ framework

    Language:Jupyter Notebook1110
  • pooyanjamshidi/ElasticBench

    A cloud application framework to plug-in auto-scaling logic and experimentally evaluate controllers in a feedback control loop on platform as a service environment

    Language:Visual Basic130
  • alidoostnia/Self-adaptive-pattern-matching

    A Random Walk-Based Pattern-Matching Simulator for Verification of Incomplete Markov Models in Self-Adaptive Systems

    Language:Java0100
  • aucejito/SUA-MUITSS

    Coche autónomo para la asignatura SUA empleando OSGi

    Language:Java0100
  • 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).

    Language:Python0201
  • rdinizcal/mappingCTSEproperties

    How to check control properties in source code? We map control properties into traditional software engineering properties in an attempt to solve the challenge.

    Language:HTML0200
  • rogeriogentil/starmx

    Fork of the StarMX project (https://sourceforge.net/projects/starmx/) for academic purposes.

    Language:Java0100
  • FZhg/Self-optimizing-Autoscaler-For-OpenShift

    An autoscaler that use sysdig as metric supplier for openshift pods

    Language:Python10
  • GMAP/MPR

    MPR: An MPI Framework for Distributed Self-Adaptive Stream Processing

    Language:C++10
  • kas-lab/rosa

    A knowledge-based framework for Robot Self-adaptation (ROSA)

    Language:Python
  • mariohercules/k8s-autoscaler

    Kubernetes Autoscaler HPA - VPA - KUBOW

    Language:Java20
  • rdinizcal/ct4bsn-replication_package

    Replication Package for Applying Combinatorial Testing for the Body Sensor Network: An Experience Report

  • sarpreetsingh3131/2dv50e

    degree project at bachelor level

    Language:Java304
  • sychoo/cps-degradation-recovery

    This repository lists out all the code, model and data for the SEAMS 2024 paper titled "Integrating Graceful Degradation and Recovery through Requirement-driven Adaptation"

    Language:Python10
  • tacsio/in1060-2023

    Repositório disciplina Tópicos Avançados em Sistemas Distribuídos.

    Language:Kotlin10