WAEC-T

This repository serves as the codebase for a study that examines the energy consumption of different web-frameworks implementing the same application called Minitwit. Measurements are done using the OTII-Arc-Pro hardware.

Overview

This project provides tooling to conduct automated performance and energy consumption experiments across multiple web-application implementations. It includes capabilities for both sequential and "berries" (multi-client) testing scenarios.

Features

• Web-applications:
  • Rust-Actix
  • Python-Flask
  • Go-Gorilla
  • Go-Gin
  • Ruby-Sinatra
  • C-Sharp-Razor
• Automated power consumption measurements using OTII hardware
• Support for different testing scenarios:
  • Sequential API testing
  • Sequential UI testing
• Automated data collection and analysis from an AWS S3-bucket
• AWS CDK for RDS (Postgres) and S3-bucket
• Docker-based deployment
• Multi-client orchestration

Prerequisites

• Python 3.x
• Docker and Docker Compose
• OTII hardware setup
• Network configuration for distributed testing
• Pandas library
• AsyncIO support

Installation

1. Clone the repository
2. Install required Python dependencies
3. Configure the OTII hardware
4. Set up the network configuration for distributed testing

Configuration

Network Setup

Configure you own addresses with your own IP in the execution.py:

Docker Compose Files

Place your Docker Compose files in the specified base location:

BASE_COMPOSE_FILES_LOCATION = '/media/mmcblk0p2/setup/compose_files/'