Description: Traffic forecasting is the process of predicting future traffic patterns based on historical data. This analysis is performed using algorithms and statistical models that identify trends and behaviors in network traffic. In the context of cloud computing and networking, traffic forecasting is crucial for optimizing resource distribution and ensuring efficient performance. By anticipating the volume of traffic a website or application may receive, organizations can adjust their infrastructure to handle demand spikes, improve user experience, and reduce operational costs. This process not only relies on past traffic data but can also incorporate external factors such as seasonal events, marketing campaigns, and changes in consumer behavior. The ability to predict traffic allows businesses to be proactive rather than reactive, ensuring their services are always available and functioning optimally.
