P. Huang, A. Feldmann, and W. Willinger, "A non-intrusive, wavelet-based approach to detecting network performance problems," in Proceeding of ACM SIGCOMM Internet Measurement Workshop 2001. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Graph Wavelets for Spatial Traffic Analysis - Crovella, Kolaczyk (2003) (1 citation) (Correct)
....similar to time scaling analysis, work in anomaly detection has generally approached the summarization task in step 1 from a single link, temporal analysis standpoint for example, 9] These timeseries based approaches to anomaly detection have also made use of wavelet analysis. An example is [10], which explores the diagnostic utility of the traffic energy function; this function is easily obtained using multiresolution analysis. Another approach applying wavelet analysis to anomaly detection is [11] which focuses on analysis of traffic flow measurements. In contrast, the approach we ....
P. Huang, A. Feldmann, and W. Willinger, "A non-intrusive, waveletbased approach to detecting network performance problems," in Procedings of the 2001.
Small-Time Scaling Behaviors of Internet Backbone.. - Zhang, Ribeiro, Moon.. (2003) (16 citations) (Correct)
....two semi experiments clearly demonstrate the impact of dense vs. sparse traffic composition on the small time scaling behaviors. D. Effect of RTT on Small Time Scaling We conclude this section by examining the effect of RTT on small time scalings of the traces. Through simulations, in [24] [25] it shows that strong periodicities at the RTT time scale caused by TCP s feedback control can lead to a decrease a dip ) in wavelet energy at that scale, which might be attributed as the cause of the flat (uncorrelated like) scaling we observe at the small time scales. To address this issue, ....
P. Huang, A. Feldmann, and W. Willinger, "A non-intrusive, wavelet-based approach to detecting network performance problems, " Proc. IEEE/ACM Internet Measurement Workshop, 2001.
Graph Wavelets for Spatial Traffic Analysis - Crovella, Kolaczyk (2002) (1 citation) (Correct)
....similar to time scaling analysis, work in anomaly detection has generally approached the summarization task in step 1 from a single link, temporal analysis standpoint for example, 9] These timeseries based approaches to anomaly detection have also made use of wavelet analysis. An example is [10], which explores the diagnostic utility of the traffic energy function; this function is easily obtained using multiresolution analysis. Another approach applying wavelet analysis to anomaly detection is [11] which focuses on analysis of traffic flow measurements. In contrast, the approach we ....
Polly Huang, Anja Feldmann, and Walter Willinger, "A non-intrusive, wavelet-based approach to detecting network performance problems," in Procedings of the 2001.
Graph Wavelets for Spatial Traffic Analysis - Crovella, Kolaczyk (2002) (1 citation) (Correct)
....similar to time scaling analysis, work in anomaly detection has generally approached the summarization task in step 1 from a single link, temporal analysis standpoint for example, 9] These timeseries based approaches to anomaly detection have also made use of wavelet analysis. An example is [10], which explores the diagnostic utility of the traffic energy function; this function is easily obtained using multiresolution analysis. Another approach applying wavelet analysis to anomaly detection is [11] which focuses on analysis of traffic flow measurements. In contrast, the approach we ....
Polly Huang, Anja Feldmann, and Walter Willinger, "A non-intrusive, wavelet-based approach to detecting network performance problems," in Procedings of the 2001.
WADeS: A Tool for Distributed Denial of Service Attack Detection - Ramanathan (2002) (2 citations) (Correct)
....to the cached and non cached flows. Network Traffic Partial State Cache hedul WFQ Sc W, W2 Miss Traffic of Stateless flows Fig. 1. Scheme for containing DoS attacks from a few flows B. Wavelet Approach Wavelets are excellent mathematical tools for analyzing the properties of data series [21], 22] Wavelets split up data into different frequency components and each compo nent is studied at a certain resolution corresponding to its time scale. Conventional methods for signal analysis such as Fourier Transforms work in the frequency domain. This is useful when signals do not possess ....
P. Huang, A.Feldmann, and W.Willinger, "A non-intrusive, wavelet-based ap- proach to detecting network performance problems," in Proc. of Internet Mea- surement Workshop, San Francisco, CA, Nov 2001.
A Method for estimating non-responsive traffic at a router - Zhao, Ametha, Darbha, Reddy (2002) (Correct)
....here show that as long as we employ a reasonable average value in the estimation algorithm, the di#erent RTTs of di#erent flows do not impact the accuracy significantly. Recent studies based on wavelets provide a convenient way to estimate the range of RTTs of flows passing through a router [17]. In order to further study the impact of RTT on the estimation, we set R0 at the router to 100ms and run di#erent experiments with di#erent RTTs for flows. We fix the RTTs of all the flows at a single value, varying from 10ms to 200ms. The results are shown in Figure 7. 10 0 50 100 150 200 ....
P. Huang, A. Feldmann, and W. Willinger, "A non-intrusive, wavelet-based approach to detecting network performance problems," Proc. of Internet Measurement Workshop, Nov. 2001. 15
A Tool for RApid Model Parameterization and its Applications - Lan, Heidemann (2003) (Correct)
No context found.
P. Huang, A. Feldmann, and W. Willinger, "A non-intrusive, wavelet-based approach to detecting network performance problems," in Proceeding of ACM SIGCOMM Internet Measurement Workshop 2001.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC