DocumentCode
2175996
Title
Superposition of multiplicative multifractal traffic streams
Author
Gao, Jianbo ; Rubin, Izhak
Author_Institution
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
816
Abstract
Source traffic streams as well as aggregated traffic flows often exhibit long-range-dependent (LRD) properties. We model each traffic stream component through the multiplicative multifractal counting process traffic model. We prove that the superposition of a finite number of multiplicative multifractal traffic streams results in another multifractal stream. This property makes the multifractal traffic model a versatile tool in modeling traffic streams in computer communication networks. There, a node is loaded by a traffic flow resulting from the superposition of source streams and aggregated LRD (and other) streams. The structure and the burstiness of the superimposed process is studied, and useful mathematical relations are obtained
Keywords
Poisson distribution; computer networks; fractals; queueing theory; telecommunication traffic; Poisson process; aggregated traffic flows; computer communication networks; long-range-dependent properties; multifractal counting process traffic model; multiplicative multifractal traffic streams; network node; single server queueing system; source traffic streams; traffic streams superposition; Communication networks; Computer networks; Fractals; Packet switching; Quantum computing; Streaming media; Telecommunication traffic; Traffic control; Wide area networks; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2000. ICC 2000. 2000 IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-6283-7
Type
conf
DOI
10.1109/ICC.2000.853612
Filename
853612
Link To Document