Correlating multiple events and data in an ethernet network

Abstract

The high volumes of the alerts occurring in the network makes it a challenging job for human operators to understand them and take appropriate actions. The more complex is the network, the more are the events and alerts generated by the appliances. This paper shares insights on various Event Correlation techniques and algorithms implemented in the Network Management Solutions for an Ethernet Network. The aim of this paper is to design a framework and algorithm which ensure to a large extent; efficient and reliable handling of massive amounts of machine data received in varying formats in a flexible and cost-efficient manner. Techniques like Event filtering, Event correlation, event augmentation, Event aggregation and Root cause analysis has been effectively utilised in the given framework. Result shows the proposed framework and algorithm is reducing 50% time for computation and efforts.