Adaptive random sampling for load change detection
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Managing capacity for telecommunications networks under uncertainty
IEEE/ACM Transactions on Networking (TON)
Testing the Gaussian approximation of aggregate traffic
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Routing, Flow, and Capacity Design in Communication and Computer Networks
Routing, Flow, and Capacity Design in Communication and Computer Networks
MRTG - The Multi Router Traffic Grapher
LISA '98 Proceedings of the 12th USENIX conference on System administration
MRTG - The Multi Router Traffic Grapher
LISA '98 Proceedings of the 12th USENIX conference on System administration
QoS-aware bandwidth provisioning for IP network links
Computer Networks: The International Journal of Computer and Telecommunications Networking
Probability: Theory and Examples
Probability: Theory and Examples
Long-term forecasting of Internet backbone traffic
IEEE Transactions on Neural Networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Multivariate fairly normal traffic model for aggregate load in large-scale data networks
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
Anomaly detection in VoIP traffic with trends
Proceedings of the 24th International Teletraffic Congress
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This paper presents a new online algorithm for automated detection of load changes, which provides statistical evidence of stationary changes in traffic load. To this end, we perform continuous measurements of the link load, then look for clusters in the dataset and finally apply the Behrens-Fisher hypothesis testing methodology. The algorithm serves to identify which links deviate from the typical load behavior. The rest of the links are considered normal and no intervention of the network manager is required. Due to the automated selection of abnormal links, the Operations Expenditure (OPEX) is reduced. The algorithm has been applied to a set of links in the Spanish National Research and Education Network (RedIRIS) showing good results.