| Performance Analysis of Communications Networks and Systems Contributor(s): Van Mieghem, Piet (Author), Mieghem, Piet Van (Author) |
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ISBN: 052110873X ISBN-13: 9780521108737 Publisher: Cambridge University Press OUR PRICE: $68.39 Product Type: Paperback - Other Formats Published: April 2009 Annotation: A rigourous and self-contained graduate text covering methods to assess the performance of networked systems. |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Telecommunications - Computers | Networking - General - Technology & Engineering | Electrical |
| Dewey: 004.6 |
| Physical Information: 1.1" H x 6.69" W x 9.61" (1.89 lbs) 544 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |
Contributor Bio(s): Van Mieghem, Piet: - Piet F. A. Van Mieghem is a professor at the Delft University of Technology with a chair in telecommunication networks and is chairman of the Network Architectures and Services (NAS) group. His main research interests lie in new Internet-like architectures for future, broadband and QoS-aware networks and in the modelling and performance analysis of network behavior and complex infrastructures. |