Cloud Infrastructure Simulations

Overview

This repository contains various cloud computing simulations and algorithms, including task scheduling, load balancing, virtualization, replication, and cloud deployment models. The programs demonstrate fundamental cloud infrastructure concepts through Python-based simulations.

Contents

1️⃣ Task Scheduling & Load Balancing

• Round-Robin Task Distribution: Distributes M tasks across N worker nodes using round-robin scheduling.
• Round-Robin Load Balancer: Distributes requests across servers with a delay simulation.
• Least Connections Load Balancer: Assigns new tasks to the server with the fewest active connections.

2️⃣ Cloud Resource Management

• Virtualization Class: Lists benefits/drawbacks of virtualization and suggests if it’s beneficial for a scenario.
• Hypervisor Type Identification: Determines if a hypervisor (e.g., VMware, KVM) is Type 1 or Type 2.
• Virtual Server Operations: Simulates virtual server operations (start, stop, reboot) using threading.

3️⃣ Data Replication & Networking

• Synchronous vs. Asynchronous Replication: Simulates how data consistency is maintained or delayed using dictionaries.
• Packet Transmission with Latency: Introduces artificial network latency to simulate cloud-based app delays.

4️⃣ Cloud Deployment & Service Models

• Cloud Deployment Model Selector: Recommends Public, Private, or Hybrid cloud based on security, budget, and scalability.
• IaaS, PaaS, SaaS Simulation: Demonstrates cloud service abstraction using classes.

5️⃣ Parallel Computing & Aggregation

• Task Aggregation Using Concurrent Futures: Splits a large task across multiple nodes and merges results.
• Cloud CPU Auto-Scaling: Simulates auto-scaling when CPU usage exceeds a threshold.

Setup & Usage

1. Clone the repository:

   git clone https://github.com/yourusername/cloud-simulations.git
   cd cloud-simulations