Predictive technique to suppress large-scale data exchange

Abstract

The systems and methods discussed herein provide for a predictive monitoring technique to suppress data exchange between the client device or devices and the monitoring device or devices. Regression-based intelligent predictions systems executed both by the client device or devices and the monitoring device or devices perform identical prediction algorithms. If the predicted metric values and the actual measured metric values on the client device are very close, then the client device may skip transmitting the measured metric values to the monitoring device; similarly, if a measured metric value is not received by the monitoring device, then the monitoring device knows that the measured metric was similar to the predicted metric on the client device, and accordingly may utilize the predicted metric on the monitoring device. Because transmission of the measured metric values may be skipped, network traffic and interface and processor utilization is significantly decreased.