An Enterprise Dynamic Thresholding System
Mazda A. Marvasti, Arnak Poghosyan, Ashot N. Harutyunyan, Naira Grigoryan · 2014
We demonstrate an enterprise Dynamic Thresholding System for data-agnostic management of monitoring flows. The dynamic thresholding based on data historical behavior enables adaptive and more accurate control of business environments compared to static thresholding. We manifest the main blocks of a complex analytical engine that is implemented in VMware vCenter Operations Manager as a principal foundation of the company’s data-driven anomaly detection.