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 :
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