Validating a Unifying Alarm Model

Abstract

The constant growth and complexity of Telecommunication networks has resulted in a situation where alarm operators are flooded with alarms. A medium-sized telecommunication network center can receive several hundred thousands alarm per day. The amount of alarms have created a need for an automatic event correlation strategy. Thus far, researchers and industry have looked to address the problem through techniques such as model-based correlations, neural networks and sequential data mining. Despite these efforts the problem still remains. (Wallin 2009) argues that strong alarm models is the key to an effective alarm management and have created the foundation for a unifying alarm model. In this study an implementation of the unifying alarm model was developed and tested. The result show that the unifying alarm model provide abilities to perform automated correlations hence solving issues in alarm mangement.