Sensing anomalies with an optimal filter applied to the traffic matrix of an IP telecommunications network

Author

Mekaoui, Slimane ; Benhamed, Choukri ; Ghoumid, Kamal

Author_Institution

Dept. Telecommun., Univ. des Sci. et de la techno., Algiers, Algeria

fYear

2012

fDate

10-12 May 2012

Firstpage

600

Lastpage

604

Abstract

In this paper, we present the application of the well-known Kalman Optimal Filter to the Traffic Matrix (TM) of an IP Telecommunications network in order to sense and localize anomalies. At the first step, the application did not reveal significant anomalies with high dynamics activities through the network. As a second step, we simulated real increases of data flows at certain links Origin/Destination (OD) of the TM. The results obtained have shown clear and neat anomalies goodly sensed and localized by the optimum Kalman filter.

Keywords

IP networks; Kalman filters; matrix algebra; telecommunication traffic; IP telecommunications network; Kalman optimal filter; OD; TM; certain link origin-destination; data flow; high dynamics activity; sensing anomaly; traffic matrix; Covariance matrix; Equations; Estimation error; IP networks; Kalman filters; Mathematical model; Quality of service; Anomalies detection; Kalman filter; PoP (Point of Presence); QoS (Quality of Service); SNMP (Simple Network Management Protocol); Traffic Matrix (TM);

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems (ICMCS), 2012 International Conference on

Conference_Location

Tangier

Print_ISBN

978-1-4673-1518-0

Type

conf

DOI

10.1109/ICMCS.2012.6320143

Filename

6320143