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Piet Van Mieghem
ISBN: 0521855152
April 2006 |
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This rigorous and self-contained book describes mathematical and, in
particular, stochastic methods to assess the performance of networked
systems. It consists of three parts. Part one is a review of
probability theory. Part two covers the classical theory of stochastic
processes (Poisson, renewal, Markov, and queuing theory), which are
considered to be the basic building blocks for performance evaluation
studies. Part three focuses on the relatively new field of the physics
of networks. This part deals with the recently obtained insights that
many very different large complex networks – such as the Internet,
World Wide Web, proteins, utility infrastructures, social networks -
evolve and behave according to more general common scaling laws. This
understanding is useful when assessing the end-to-end quality of
communications services, for example, in Internet telephony, real-time
video, and interacting games. Containing problems and solutions, this
book is ideal for graduate students taking courses in performance
analysis.
source: Cambridge.org
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Check out what other people talk about these similar topics:
Poisson process, Renewal theory, Discrete time Markov chains, Branching processes
Poisson process, Renewal theory, Discrete time Markov chains, Branching processes
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