Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - On the comprehension of DSL SyncTrap events in IPTV networks
AU - Marnerides, Angelos
AU - Malinowski, Simon
AU - Morla, Ricardo
AU - Rodrigues, Miguel R. D.
AU - Kim, Hyong S.
PY - 2013/7/7
Y1 - 2013/7/7
N2 - The adequate operation of IPTV distribution networks heavily relies on the effective maintenance and management of their underlay DSL infrastructure. New hardware and software is required in order to improve monitoring capabilities and to directly diagnose anomalies that other segments of the DSL network cannot identify. In this work we initially compare the accuracy performance of SVM-specific formulations for constructing a robust ground truth within our classification procedure regarding abnormalities issued at anomaly-aware Digital Subscriber Line Access Multiplexers (DSLAMs) of the DSL infrastructure. Moreover, we consider the pragmatic cost of repairing anomalies that were misclassified and characterize each classifier according to the overall cost that is possible to incur to the network operator. In parallel, this work attempts to practically improve the network-wide anomaly classification performance by proposing a semi-supervised classification scheme that updates the initial supervised scheme by testing unlabelled anomalies occurring at anomaly-unaware DSLAMs.
AB - The adequate operation of IPTV distribution networks heavily relies on the effective maintenance and management of their underlay DSL infrastructure. New hardware and software is required in order to improve monitoring capabilities and to directly diagnose anomalies that other segments of the DSL network cannot identify. In this work we initially compare the accuracy performance of SVM-specific formulations for constructing a robust ground truth within our classification procedure regarding abnormalities issued at anomaly-aware Digital Subscriber Line Access Multiplexers (DSLAMs) of the DSL infrastructure. Moreover, we consider the pragmatic cost of repairing anomalies that were misclassified and characterize each classifier according to the overall cost that is possible to incur to the network operator. In parallel, this work attempts to practically improve the network-wide anomaly classification performance by proposing a semi-supervised classification scheme that updates the initial supervised scheme by testing unlabelled anomalies occurring at anomaly-unaware DSLAMs.
KW - IPTV
KW - Educational institutions
KW - DSL
U2 - 10.1109/ISCC.2013.6755025
DO - 10.1109/ISCC.2013.6755025
M3 - Conference contribution/Paper
SN - 9781479937561
SP - 670
EP - 675
BT - 2013 IEEE Symposium on Computers and Communications (ISCC)
PB - IEEE
T2 - IEEE ISCC
Y2 - 27 August 2013
ER -