suleka96/Bayesian_Hyperparameter_optimization

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Python
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Apache License 2.0
Created almost 6 years ago
Updated over 5 years ago

suleka96/Bayesian_Hyperparameter_optimization

suleka96

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This repo contains an implementation of Bayesian Optimization based on the Gaussian process.

CitationReferenceRetriever

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The framework automates performance testing for microservices, identifying key JVM parameters affecting garbage collection through feature importance detection. It fine-tunes these parameters using TPE-based Bayesian Optimization and assesses performance improvements, resulting in a customized set of optimized GC configurations for the Microservice

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This repository implemets XGBoost, Random Forest Regressor, SVR (linear,rbf,poly) and Bayesian algorithms to predict throughput and latency values of Ballerina (WSO2), APIM(WSO2), Spring Boot and TPC-W

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Performance-Results-of-Server-Based-Systems

This contains performance results of 4 server based systems. They are : TPC-W (a transactional web e-Commerce benchmark) , Springboot (a Java based framework used to create micro services), APIM ( a full lifecycle API development, integration and management framework) and Ballerina (a programming language designed for integration).