A Study on CloudSim Framework for Cloud Simulation Environments

Abstract

In today’s information technology landscape, cloud computing serves as a critical infrastructure for scalable, on-demand computing services. Testing new methods for resource distribution, workload scheduling, and operational effectiveness in cloud platforms can be expensive, time-consuming, and difficult to reproduce. Simulation frameworks such as CloudSim allow researchers to model and analyze cloud environments in a controlled and cost-effective way. This study reviews the framework’s architecture, main features, simulation capabilities, and key extensions. Its modular design lets researchers run experiments with data centers, virtual machines, and even newer stuff like edge computing and IoT. Sure, it doesn’t capture every messy detail of real cloud operations, but it’s a practical way to test out scheduling algorithms, energy-saving resource management, load balancing, and ways to cut costs without spending a fortune. Looking ahead, it makes sense to add features such as container support, more realistic energy models, and better simulations that accurately reflect how today’s cloud systems operate.