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