A Statistical Approach for Examining Internet Traffic, METU-NET Case

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. KEYWORDS Self-similarity, Stationarity, LRD (Long-Range Dependent), METU-NET (Middle East Technical University Campus Backbone)

• Type: Conference
• Year: 2004
• Where: IADIS
• Authors: Cüneyt Sevgi
• Keywords: IADIS 2004, IADIS 2008, Long-range Dependent, Statistical Analyses, Traffic Modeling Assumptions