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Books > Computing & IT > Computer communications & networking
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Large Scale Networks - Modeling and Simulation (Paperback)
Loot Price: R2,182
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Large Scale Networks - Modeling and Simulation (Paperback)
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This book offers a rigorous analysis of the achievements in the
field of traffic control in large networks, oriented on two main
aspects: the self-similarity in traffic behaviour and the
scale-free characteristic of a complex network. Additionally, the
authors propose a new insight in understanding the inner nature of
things, and the cause-and-effect based on the identification of
relationships and behaviours within a model, which is based on the
study of the influence of the topological characteristics of a
network upon the traffic behaviour. The effects of this influence
are then discussed in order to find new solutions for traffic
monitoring and diagnosis and also for traffic anomalies prediction.
Although these concepts are illustrated using highly accurate,
highly aggregated packet traces collected on backbone Internet
links, the results of the analysis can be applied for any complex
network whose traffic processes exhibit asymptotic self-similarity,
perceived as an adaptability of traffic in networks. However, the
problem with self-similar models is that they are computationally
complex. Their fitting procedure is very time-consuming, while
their parameters cannot be estimated based on the on-line
measurements. In this aim, the main objective of this book is to
discuss the problem of traffic prediction in the presence of
self-similarity and particularly to offer a possibility to forecast
future traffic variations and to predict network performance as
precisely as possible, based on the measured traffic history.
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