Workaround prediction of cloud alarms using machine learning
Dhanya S Karanth, Kumaraswamy H.V, Rajesh Kumar
Abstract
Cloud-based systems implies to applications, resources or services provided to users as per their requirement through the Internet using a cloud computing provider’s server. These clouds triggers alarm events to indicate the health of system. Monitoring these alarms is essential for maintaining the health and continuous functioning of cloud. Because of humungous alarms triggered on daily basis, notifying critical alarms in time and taking required action is quite challenging task. In this paper machine learning model is implemented using decision tree classifier to analyse each alarm and predict if any action required for that alarm or not and also notify the concerned team via creating JIRA tickets.