Systems and methods for conserving computational resources by reducing network traffic predictions via machine learning models

Abstract

In some embodiments, conserving computational resources by reducing network traffic predictions via machine learning models may be facilitated. In some embodiments, in connection with a first scheduled time for automated triggering of network resource predictions via a first machine learning model at scheduled times, a first resource usage prediction is received, via the first machine learning model, for a service executing within a computing environment. A first resource allocation process is performed for the service based on the first resource usage prediction. In connection with detecting that an amount of actual traffic corresponding to the service satisfies a traffic threshold for a threshold amount of time, a second resource allocation process is performed, before a second scheduled time next in the scheduled times after the first scheduled time.