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Title:
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A STATISTICAL APPROACH FOR EXAMINING INTERNET TRAFFIC, METU-NET CASE |
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Author(s):
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Cüneyt Sevgi |
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ISBN:
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972-99353-0-0 |
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Editors:
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Pedro Isaías and Nitya Karmakar |
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Year:
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2004 |
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Edition:
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1 |
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Keywords:
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Self-similarity, Stationarity, LRD (Long-Range Dependent), METU-NET (Middle East Technical University Campus Backbone). |
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Type:
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Full Paper |
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First Page:
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580 |
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Last Page:
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588 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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A number of empirical studies of traffic measurements from a wide range of packet networks have verified that actual network traffics are self-similar or long-range dependent in nature in contrast to commonly made traffic modeling assumptions. This study deals with the statistical analyses of data networks. Statistical analyses including stationarity, self-similarity of aggregate traffic stream between METU-NET and the Internet were carried out. |
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