Name
Abstract | ||
|---|---|---|
Analysis and monitoring of traffic measurements can provide a useful tool for diagnostic, troubleshooting and performance analysis in networks. This paper presents a method for traffic analysis, based on the theory of extreme values. Numerical time series obtained from traffic measurements are processed to compute statistical indicators and analyze them to detect significant local features, which may point to some critical network behavior |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IMTC.2006.328439 | IEEE T. Instrumentation and Measurement |
Keywords | DocType | Volume |
anomalous behavior detection,network measurement,traffic measurement monitoring,telecommunication networks,statistical analysis,probability paper,anomaly detection,critical network behavior,numerical time series,traffic measurement analysis,statistical indicators,telecommunication traffic,performance analysis,extreme value theory,time series analysis,computer vision,gumbel distribution,extreme value,statistical distributions,time series,time measurement,bandwidth,computer networks,quality of service | Journal | 57 |
Issue | ISSN | ISBN |
12 | 1091-5281 E-ISBN : 0-7803-9360-0 | 0-7803-9360-0 |
Citations | PageRank | References |
4 | 0.42 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giada Giorgi | 1 | 71 | 13.30 |
| Claudio Narduzzi | 2 | 138 | 20.65 |