On systematic approach to discovering periodic patterns in event logs

Authors

Marcin Zimniak, Tu Chemnitz, GermanyFollow
Janusz R. Getta, University of WollongongFollow

RIS ID

109913

Publication Details

Zimniak, M. & Getta, J. R. (2016). On systematic approach to discovering periodic patterns in event logs. Lecture Notes in Computer Science, 9875 249-259. Computational Collective Intelligence: 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part I

Abstract

Discovering periodic patterns from historical information is a computationally hard problem due to the large amounts of historical data to be analyzed and due to a high complexity of the patterns. This work shows how the derivations rules for periodic patterns can be applied to discover complex patterns in case of logs of events. The paper defines a concept of periodic pattern and its validation in a workload trace created from the logs of events. A system of derivations rules that transforms periodic patterns into the logically equivalent ones is proposed. The paper presents a systematic approach based on the system of derivation rules to discovery of periodic patterns in logs of events.