The predictability of network traffic is a significant interest in many domains such as
congestion control, admission control, and network management. An accurate traffic …

The predictability of network traffic is a significant interest in many domains such as
congestion control, admission control, and network management. An accurate traffic …

The predictability of Internet traffic is a significant interest in many domains such as adaptive
applications, congestion control, admission control, and network management. In this paper …

Traffic prediction plays an integral role in telecommunication network planning and network
optimization. In this paper, we investigate the traffic forecasting for data services in 3G …

Gegenbauer autoregressive moving average (GARMA) model has the ability to capture both
the short-and long-range dependent characteristics of the underlying data. GARMA has …

Forecasting of network traffic plays a very important role in many domains such as
congestion control, adaptive applications, network management and traffic engineering. A …

Background FARIMA (p, d, q) model is a good traffic model capable of capturing both the
long-range and short-range behavior of a network traffic stream in time. In this paper, we …

Multifractal Based Network Traffic Modeling provides an overview of existing broadband
traffic modeling based on the Poisson process and its variants like the MM1 models. It also …

This work extends the notion of the widely mentioned and used fractional Brownian traffic
model in the literature. Extensive experimental investigations indicate that the proposed …

This paper highlights the statistical procedure used in developing models that have the
ability of capturing and forecasting the traffic of mobile communication network operating in …