What term describes resource adjustments made based on anticipated traffic levels?

The term that describes resource adjustments made based on anticipated traffic levels is predictive scaling. This method involves forecasting demand and automatically scaling resources up or down in advance of expected traffic changes. By analyzing historical data and usage patterns, predictive scaling enables organizations to prepare for peaks and troughs in demand, ensuring that sufficient resources are available without over-provisioning.

While dynamic scaling refers to real-time adjustments based on current demand and auto-scaling pertains to automated resource adjustments in response to actual load, these methods focus on immediate conditions rather than future predictions. Scheduled scaling is about setting fixed times to scale resources rather than predicting based on anticipated traffic levels. Thus, predictive scaling effectively encompasses the proactive nature of adjusting resources based on expected utilization trends.