Simulating Scalable Architectures for Cloud Based Systems: Identifying Bottlenecks and Optimal Design Strategies

The rapid increase in demand for cloud services requires strong system architectures that can effectively handle user traffic and adaptively scale to maintain maximum performance and user satisfaction. This research article introduces an innovative simulation model designed to analyze the scalability and dependability of cloud services. Through the utilization of an extensive simulation-based methodology, we replicate user traffic patterns throughout a spectrum spanning from average usage to maximum demands. This enables us to pinpoint any potential bottlenecks that may hinder the performance of the system.