Comparative study of pattern mining techniques for network management system logs for convergent network

Authors:
Bodhisattwa Gangopadhyay;Artur Arsenio;Claudia Antunes
Affiliations:
Instituto Superior Técnico, Lisboa, Portugal and Nokia Siemens Networks Portugal S.A., Portugal;Instituto Superior Técnico, Lisboa, Portugal and Nokia Siemens Networks Portugal S.A., Portugal;Instituto Superior Técnico, Lisboa, Portugal
Venue:
ICDEM'10 Proceedings of the Second international conference on Data Engineering and Management
Year:
2010

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Abstract

The concept of Pattern Mining has obtained significant focus in Telecommunications Network Management Systems (NMS). A large volume of work has been dedicated to this field and valuable progress has been observed. Both sequential and structured pattern mining techniques were applied to NMS. In particular NMS logs (Performance and Alarm) pose several interesting issues for pattern mining, and it can help in various NMS activities such as alarm correlation, alarm associations, self-healing or pro-active fault management. In this paper, we present an overview of the different pattern mining techniques used in NMSs, compare them and present the most beneficial ones to NMS for Radio over Fiber (RoF) like convergent networks.