The study of self-similarity of the traffic transmitted in the backbone Internet channel / Porshnev S. V. .,Bozhalkin D. A. // . - 2016. - V. , l. .

ISSN/EISSN:

2381-7593 / нет данных

Type:

Proceedings Paper

Abstract:

The results of the research of information flows statistical characteristics in the Internet backbone channel are discussed. A distinctive feature of the study is the separation of a network traffic passing through the backbone channel into three private data flows that are formed by the information exchange sessions (sender-receiver bidirectional connection) of corresponding, depending on the volume of transmitted data, classes. Using the author's technique for each of the selected flows random sequences are obtained. They contain values of number of packets and data volumes transferred by sessions of the same class during a certain time interval (aggregation window). Distributions of these sequences and their Hurst exponents are studied. The received results led to the reasonable conclusion that the studied random sequences are not self-similar stochastic processes.

Author keywords:

traffic; dump; computer networks; time series; random sequences; density distribution; approximation; supercomputer; fractal Brownian motion; self-similarity; first differences; Hurst exponent

DOI:

нет данных

Web of Science ID:

ISI:000399463100101

Соавторы в МНС:

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Другие поля

Поле	Значение
Editor	Kosykh, A
Booktitle	2016 DYNAMICS OF SYSTEMS, MECHANISMS AND MACHINES (DYNAMICS)
Series	Dynamics of Systems Mechanisms and Machines
Note	10th IEEE International Scientific and Technical Conference on Dynamics of Systems, Mechanisms and Machines (Dynamics), Omsk, RUSSIA, NOV 15-17, 2016
Organization	IEEE
Publisher	IEEE
Address	345 E 47TH ST, NEW YORK, NY 10017 USA
Language	English
ISBN	978-1-5090-4049-0
Research-Areas	Engineering; Mechanics; Telecommunications
Web-of-Science-Categories	Engineering, Mechanical; Mechanics; Telecommunications
Author-Email	sergey\_porshnev@mail.ru bozhalkin@mail.ru
Number-of-Cited-References	29
Usage-Count-Last-180-days	2
Usage-Count-Since-2013	2
Doc-Delivery-Number	BH2XR