On Self-Similar Traffic Modeling of Water Resources in Arid Regions

Modeling Self-Similar Traffic for Network Simulation

In order to closely simulate the real network scenario thereby verify the effectiveness of protocol designs, it is necessary to model the traffic flows carried over realistic networks. Extensive studies [1] showed that the actual traffic in access and local area networks (e.g., those generated by ftp and video streams) exhibits the property of self-similarity and long-range dependency (LRD) [2]...

Effect of management of water consumption on vegetation development in rainwater catchment systems in arid regions

The aim of this research was to study how water use management can increases vegetation cover inrainwater catchment systems. The study was conducted through comparison of two methods of irrigation, i.e. traditional sub-surface drip irrigation and drip irrigation. Three soil samples were taken and analyzed from three locations in north of Sistan from a depth of 50 cm. A furrow was dug with a bas...

Self-generated Self-similar Traffic

Self-similarity in the network traffic has been studied from several aspects: both at the user side and at the network side there are many sources of the long range dependence. Recently some dynamical origins are also identified: the TCP adaptive congestion avoidance algorithm itself can produce chaotic and long range dependent throughput behavior, if the loss rate is very high. In this paper w...

Modeling Superposition of Many Sources Generating Self Similar Traffic

This paper presents steps towards creating a general model for aggregated traffic streams. We show that fitting the mean, variance and Hurst parameter is insufficient to consistently model a long range dependent traffic stream. A fourth parameter, the “level of aggregation,” is required. We also show that with increased aggregation, the behaviour of a traffic stream tends towards that of a frac...

Self-similar Traffic Models