A simulation project built on CloudSim 3.0.3, focused on minimizing energy consumption and optimizing resource usage through intelligent VM allocation and real-time metrics monitoring.

Simulation of Modified SJF Scheduling Algorithm using CloudSim based on evaluating the Avg response time and makespan in comparison to FCFS and SJF Scheduling

placement by learning automata

Cloudsim simulation java implementation

Task scheduling using Weighted Active Monitoring Load Distribution technique.

Developed By "Perfect Cube" - https://doi.org/10.36948/ijfmr.2025.v07i01.34840

This project simulates scheduling in a cloud computing environment using CloudSim. Multiple scheduling algorithms are implemented, allowing for flexibility in assigning tasks (cloudlets) to virtual machines (VMs).

The results of the simulation show that the Genetic algorithm performs well compared to First Come First Serve Algorithm, Round Robin Algorithm, and Shortest Job First algorithm.

State-of-the-art Framework 🏗 for Cloud Computing ⛅️ Simulation: a modern, full-featured, easier-to-use, highly extensible 🧩, faster 🚀 and more accurate ☕️ Java 25+ tool for cloud computing research 🎓 Examples: https://github.com/cloudsimplus/cloudsimplus-examples