Author : Mr.Harishchandra Amrale and Prof. Dr.Pankaj Agarkar

Computer networks form the basic building block of Computer networks form the basic building block of any organization’s IT infrastructure. As businesses depending mostly on Internet based applications, it is very crucial that the end users remain functioning in spite of network related issues. Monitoring and improved network performance is high priority to keep businesses running with high availability. This assures service level agreements (SLA) maintained and provide reliable solutions to complex business problems. Network is error prone and affects overall business performance. Therefore to maintain reliability and availability of business critical applications proactive monitoring and actions based on the monitoring have uttermost importance. Proactive monitoring identifies the issues and trigger the corrective actions before it actually experience by the users. Network Monitoring is the one part of our proposed solution where already many Open source tools like Nagios and Zabbix can be part of solution. Second part of proposed solution is relying on data collection by network monitoring tools build the analytical based solution, which can be predict the health of network component in advance. Our proposed Network health intelligence system not only efficiently collects the monitoring data but also using machine learning algorithms predict the health of network components in advance.

Keywords: Supervised machine learning models, unsupervised machine learning models, Messaging systems, and Performance metrics