A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
A novel network-monitoring system for detecting abnormal network conditions (such as hidden network congestion) is proposed. The proposed monitoring system is based on self-learning and multi-dimensional analysis. It analyzes multiple parameters such as consumed bandwidth, packet size, and arrival interval of network packets simultaneously. By executing high-quality network monitoring it thereby achieves multi-dimensional analysis by use of Mahalanobis distance. A prototype monitoring systemfatcat:ep6mbj3n6zc7tnyemcdxtkhgxi