Hidden Anomaly Detection in Telecommunication Networks - Inria - Institut national de recherche en sciences et technologies du numérique
Reports (Research Report) Year : 2012

Hidden Anomaly Detection in Telecommunication Networks

Abstract

Nowadays one of the challenges of telecommunication systems management is to detect in real-time unexpected or hidden malfunctions in extremely complex environments. In this report, we present an on-line algorithm that performs a flow of messages analysis. More precisely, it is able to highlight hidden abnormal behaviors that existing network management methods would not detect. Our algorithm uses the notion of constraint curves, introduced in the Network Calculus theory, defining successive time windows that bound the flow.
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Dates and versions

hal-00702587 , version 1 (30-05-2012)

Identifiers

  • HAL Id : hal-00702587 , version 1

Cite

Aurore Junier, Anne Bouillard, Ronot Benoit. Hidden Anomaly Detection in Telecommunication Networks. [Research Report] RR-7979, INRIA. 2012. ⟨hal-00702587⟩
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