ENHANCING LOAD BALANCING AND SCALING ALGORITHMS IN CLOUD COMPUTING USING AGENT-BASED AI SYSTEMS

Cloud computing has revolutionized the way applications and services are delivered by enabling dynamic resource allocation. Load balancing and auto-scaling are two key components that ensure optimal resource utilization and service availability. However, traditional methods can struggle with real-time decision-making in complex and dynamic environments. This paper explores how Agent-Based Artificial Intelligence (Agent Al) can improve the effectiveness of load balancing and scaling algorithms in cloud computing.