Optimizing Cloud Computing Resources with AI-driven Load Balancing

Abstract

In this research, we explore the optimization of cloud computing resources through the use of AI-driven load balancing techniques. Our study demonstrates how artificial intelligence can dynamically allocate resources to balance workloads efficiently, thus reducing operational costs and improving performance. We present case studies where AI algorithms have successfully enhanced the scalability and resilience of cloud services in real-world environments.