Description
System Load Balancing involves the use of machine learning algorithms to distribute workloads effectively across servers and data centers. AI-driven solutions analyze real-time data and forecast traffic trends to make dynamic adjustments that optimize resource usage, prevent bottlenecks, and maintain high system availability. This leads to better user experiences and more efficient use of computing resources.
