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Understanding the service quality of Internet paths is of great importance for both the service provider and the user. Motivated by this and particularly the aim of extracting such information from a given dataset collected through end-to-end measurement, this paper presents a novel approach, called SCI (Service-quality Characterization of Internet-path). Specifically, SCI utilizes delay and loss...
Unwanted or unusual delay changes on an Internet path can happen, though possibly rarely. In order to understand and manage the network to potentially avoid such abrupt changes, it is crucial and challenging to locate which part of the path has contributed critically to such delay disruptions so that some corresponding actions may be taken. To tackle this challenge, the present paper proposes a simple...
With the objective to better understand how the global Internet should achieve an availability in the order of “five nines”, i.e. be available 0.99999 of the time, active measurements were performed between Norway and China through the Global Research Network. End-to-end downtime statistics were collected during two 3-month periods, mid November 2009 till mid February 2010 and July 2010 till September...
Traffic histograms play a crucial role in various network management applications such as network traffic anomaly detection. However, traffic histogram-based analysis suffers from the curse of dimensionality. To tackle this problem, we propose a novel approach called K-sparse approximation. This approach can drastically reduce the dimensionality of a histogram, while keeping the approximation error...
Network delay is a crucial metric for evaluating the state of the network. We present in this paper a structural analysis of network delay, based on delay measurements of aback bone network. This delay analysis is performed using a subspace method called Principal Component Analysis (PCA). The analysis reveals that the delay time series can be decomposed into two constituents: a smooth periodic trend...
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