CADMANT: Context Anomaly Detection for MAintenance and Network Troubleshooting

Eloy Martinez, Enda Fallon, Sheila Fallon, Mingxue Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In telecommunications network troubleshooting, analytical applications are widely used. Such applications typically use CEP (Complex Event Processing) and SQL queries for data processing and network analysis. Performance engineers need in-depth knowledge of both the telecommunications domain and telecommunications data structures in order to create the required queries. Moreover valuable information contained in free form text data fields such as 'additional-info', 'user-text' or 'problem-text' can also be ignored. This work proposes CADMANT: Context Anomaly Detection for MAintenance and Network Troubleshooting. Traditional approaches focus on a specific record type and create specific cause and effect rules. With the CADMANT approach all free form text fields of alarms, logs, etc. are treated as text documents similar to Twitter feeds. CADMANT uses distance based outlier detection within sliding windows to detect abnormal terms at configurable time intervals. The CADMANT approach provides automated analysis without the requirement for SQL/CEP queries and provides distinct network insights in comparison to traditional approaches.

Original languageEnglish
Title of host publicationIWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1017-1022
Number of pages6
ISBN (Electronic)9781479953448
ISBN (Print)9781479953448
DOIs
Publication statusPublished - 2 Oct 2015
Event11th International Wireless Communications and Mobile Computing Conference, IWCMC 2015 - Dubrovnik, Croatia
Duration: 24 Aug 201528 Aug 2015

Publication series

NameIWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference

Conference

Conference11th International Wireless Communications and Mobile Computing Conference, IWCMC 2015
Country/TerritoryCroatia
CityDubrovnik
Period24/08/1528/08/15

Keywords

  • distance based
  • outlier
  • search engine
  • sliding windows
  • telecommunications
  • text anomaly

Fingerprint

Dive into the research topics of 'CADMANT: Context Anomaly Detection for MAintenance and Network Troubleshooting'. Together they form a unique fingerprint.

Cite this