ANALISYS OF PROGNOSTICATING MODELS OF NETWORK TRAFFIC
Rubrics: TECHNICAL CYBERNETICS
Authors:
Type:
Article
Pages:
from 172
to 173
Status:
Published
Received:
05.04.2019
Accepted:
15.04.2019
Published:
15.04.2019
Language:
Russian
Keywords:
network traffic, prognosticating, self-similarity, ARMA-models, Brownian motion model.
Abstract (English):
Comparative analysis of network traffic prognosticating models was conducted in this paper. The autoregressive models and variations of the Brownian motion model were considered.
Comparative analysis of network traffic prognosticating models was conducted in this paper. The autoregressive models and variations of the Brownian motion model were considered.
Keywords:
network traffic, prognosticating, self-similarity, ARMA-models, Brownian motion model.
network traffic, prognosticating, self-similarity, ARMA-models, Brownian motion model.
