Graph Based Root Cause Analysis in Cloud Data Center

Abstract

The appeal of low cost computing and on demand scaling of cloud technologies has resulted in the migration of many software applications to the cloud. This increased reliance on the cloud translates to a direct dependence on the cloud data centers, which form the modern cloud. These data centers are complex buildings composed of many system of systems that interact to host the end applications. Detecting anomalous events in this system of systems and then identifying their root cause in a timely manner is a demanding task. In this paper, we present a graphical model to encapsulate the cloud data center system of systems and share a method for reducing the search space for root cause analysis.