Olav Kvittem

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Principal component analysis (PCA) is a statistical technique that has been used for data analysis and dimensionality reduction. It was introduced as a network traffic anomaly detection technique firstly in [1]. Since then, a lot of research attention has been received, which results in an extensive analysis and several extensions. In [2], the sensitivity(More)
Research backbone networks are currently used by a variety of scientists and research projects interested in maximizing the benefit they receive in using the networks. Therefore, it is highly desirable for them to get access to network performance monitoring data which is prepared to serve their needs. The perfSONAR measurement framework, which is jointly(More)
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