tejas7777 / maestro

A python simulation environment to simulate micro-services orchestration using intelligent agents.

Maestro - Microservices Orchestration Simulation Framework for Autonomous Agents

Project Overview

This project simulates a microservices architecture to explore the dynamics of network traffic and resource utilization across multiple services. It's designed to test various scenarios involving CPU load, I/O bandwidth, and network traffic, providing insights into the behavior of loosely coupled systems under different operational conditions.

Features

• Traffic Generator: Simulates various types of network traffic to test the microservices' responses to different loads.
• Resource Management: Monitors and manages CPU usage, memory, and I/O bandwidth to optimize performance.
• Agents: Implements dynamic response strategies to adjust resource allocation in real-time based on system load.
• Event Queue: Manages scheduled tasks and ensures that actions such as scaling and restarts occur at appropriate times.
• Load Balancer: Distributes incoming requests across available services to balance load and optimize resource utilization.

Getting Started

Prerequisites

• Python 3.8 or later
• Redis server for caching simulation data
• Necessary Python libraries: redis, numpy, matplotlib (for plotting)

Installation

1. Clone the repository:

   git clone https://github.com/tejas7777/maestro
   

2. Run KeyDB server

   keydb-server
   

3. Run the index file

   python index.py
   

4. Run the UI

   cd ./visualization/UI/
   python simulation_ui.py
   

Author

Tejas Chendekar - psxtc5 University of Nottingham 🏰