Abstract | ||
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This paper describes statistical analysis of web data traffic to identify the probability distribution best fitting the connection arrivals and to evaluate whether data traffic traces follow heavy-tail distributions an indication of fractal behaviour, which is in contrast to conventional data traffic. Modelling of the fractal nature of web data traffic is used to specify classes of fractal computing methods which are capable of accurately describing the burstiness behaviour of the measured data, thereby establishing web data traffic patterns. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-23957-1_47 | IFIP Advances in Information and Communication Technology |
Keywords | Field | DocType |
data traffic,patterns,fractal modelling | Traffic generation model,Data mining,Data traffic,Computer science,Fractal,Probability distribution,Statistical model,Statistical analysis | Conference |
Volume | ISSN | Citations |
363 | 1868-4238 | 1 |
PageRank | References | Authors |
0.39 | 8 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shanyu Tang | 1 | 213 | 17.47 |
Hassan B. Kazemian | 2 | 47 | 12.25 |