DocumentCode :
3689658
Title :
Investigation of self-similar properties of additive data traffic
Author :
Igor Ivanisenko;Lyudmyla Kirichenko;Tamara Radivilova
Author_Institution :
Kharkiv Nat. Univ. of Radio Electron., Kharkiv, Ukraine
fYear :
2015
Firstpage :
169
Lastpage :
171
Abstract :
The work presents results of numerical study of self-similar properties of additive data traffic. It is shown that the value of Hurst exponent of total stream is determined by the maximum value of Hurst exponent of summed streams and the ratio of variation coefficient of stream with maximum Hurst exponent and other ones.
Keywords :
"Reactive power","Additives","Yttrium","Multiplexing","Load modeling","Stochastic processes","Computer science"
Publisher :
ieee
Conference_Titel :
Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT), 2015 Xth International
Type :
conf
DOI :
10.1109/STC-CSIT.2015.7325459
Filename :
7325459
Link To Document :
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