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IP Traffic Theory and Performance [electronic resource] / by Christian Grimm, Georg Schlüchtermann.

By: Contributor(s): Series: Signals and Communication TechnologyPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008Description: XIV, 487 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540706052
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.382 23
LOC classification:
  • TK1-9971
Online resources:
Contents:
to IP Traffic -- Classical Traffic Theory -- Mathematical Modeling of IP-based Traffic -- Statistical Estimators -- Performance of IP: Waiting Queues and Optimization.
In: Springer eBooksSummary: This book presents different approaches in IP traffic theory and classifies them, especially towards applications in the Internet. It comprises the state of the art in this area, which is currently presented only by numerous research papers and overview articles. The book provides an ideal starting point for detailed studies of traffic analysis in IP networks. It gives the reader the possibility to judge on different models and to select the appropriate for his individual needs in applications. The mathematical toolbox for this is kept as low as low as possible – the authors build a bridge between abstract representation of mathematical tools and applications. This, in turn, is certainly the most interesting topic for experts planning large data networks as well as practitioners and researchers working in this area The book also serves as useful reference for lecturers and students at universities.
Item type: eBooks
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to IP Traffic -- Classical Traffic Theory -- Mathematical Modeling of IP-based Traffic -- Statistical Estimators -- Performance of IP: Waiting Queues and Optimization.

This book presents different approaches in IP traffic theory and classifies them, especially towards applications in the Internet. It comprises the state of the art in this area, which is currently presented only by numerous research papers and overview articles. The book provides an ideal starting point for detailed studies of traffic analysis in IP networks. It gives the reader the possibility to judge on different models and to select the appropriate for his individual needs in applications. The mathematical toolbox for this is kept as low as low as possible – the authors build a bridge between abstract representation of mathematical tools and applications. This, in turn, is certainly the most interesting topic for experts planning large data networks as well as practitioners and researchers working in this area The book also serves as useful reference for lecturers and students at universities.

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