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On non-parametric models for detecting outages in the mobile network
Falk, Eric; Camino, Ramiro Daniel; State, Radu et al.
2017In Integrated Network and Service Management 2017
Peer reviewed
 

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Abstract :
[en] The wireless/cellular communications network is composed of a complex set of interconnected computation units that form the mobile core network. The mobile core network is engineered to be fault tolerant and redundant; small errors that manifest themselves in the network are usually resolved automatically. However, some errors remain latent, and if discovered early enough can provide warnings to the network operator about a pending service outage. For mobile network operators, it is of high interest to detect these minor anomalies near real-time. In this work we use performance data from a 4G-LTE network carrier to train two parameter-free models. A first model relies on isolation forests, and the second is histogram based. The trained models represent the data characteristics for normal periods; new data is matched against the trained models to classify the new time period as being normal or abnormal. We show that the proposed methods can gauge the mobile network state with more subtlety than standard success/failure thresholds used in real-world networks today.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Services and Data management research group (SEDAN)
Nokia Bell Labs
Disciplines :
Computer science
Author, co-author :
Falk, Eric ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Camino, Ramiro Daniel ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
State, Radu  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Gurbani, Vijay K.;  Nokia Bell Labs
External co-authors :
yes
Language :
English
Title :
On non-parametric models for detecting outages in the mobile network
Publication date :
May 2017
Event name :
Integrated Network and Service Management
Event organizer :
IEEE
Event place :
Lisbon, Portugal
Event date :
from 08-05-2017 to 12-05-2017
Audience :
International
Main work title :
Integrated Network and Service Management 2017
ISBN/EAN :
978-3-901882-89-0
Pages :
1139-1142
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 06 November 2017

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