Dimension Reduction of Network Bottleneck Bandwidth Data Space

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The network proximity metrics, such as bottleneck bandwidth and round-trip time, are very useful in different network applications. The round-trip-time prediction has been studied extensively. However, the prediction of bottleneck bandwidth has received much less attention. Therefore, the authors attempt to design a new bottleneck bandwidth prediction system by matrix factorization. As a first step, they focus on the dimension reduction of network bottleneck bandwidth data space in this paper. Evaluation is carried out based on real-world bottleneck bandwidth datasets, which are collected in the past three months.