Performance analysis of complex networks and systems / Piet Van Mieghem.
Material type: TextPublication details: Cambridge : Cambridge University Press, c.2014.Description: xvi, 675 p. : ill. ; 26 cmISBN:- 9781107058606 (hardback)
- 003.015192 22 VAN
Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Book - Borrowing | Central Library Lower Floor | Baccah | 003.015192 VAN (Browse shelf(Opens below)) | 21759 | Available | 000030663 |
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003 WIL Soft systems methodology : | 003 WIL Soft systems methodology : | 003 WIL Soft systems methodology : | 003.015192 VAN Performance analysis of complex networks and systems / | 003.1 HAS The Elements of Statistical Learning : | 003.1 TAN Principles of system identification : | 003.3 HAR Big practical guide to computer simulations / |
Index : p. 673-675.
Bibliography : p. 663-672.
Machine generated contents note: 1. Introduction; Part I. Probability Theory: 2. Random variables; 3. Basic distributions; 4. Correlation; 5. Inequalities; 6. Limit laws; Part II. Stochastic Processes: 7. The Poisson process; 8. Renewal theory; 9. Discrete-time Markov chains; 10. Continuous-time Markov chains; 11. Applications of Markov chains; 12. Branching processes; 13. General queueing theory; 14. Queueing models; Part III. Network Science: 15. General characteristics of graphs; 16. The shortest path problem; 17. Epidemics in networks; 18. The efficiency of multicast; 19. The hopcount and weight to an anycast group; Appendix A. A summary of matrix theory; Appendix B. Solutions to problems.
"This rigorous, self-contained book describes mathematical and, in particular, stochastic and graph theoretic methods to assess the performance of complex networks and systems. It comprises three parts: the first is a review of probability theory; Part II covers the classical theory of stochastic processes (Poisson, Markov and queueing theory), which are considered to be the basic building blocks for performance evaluation studies; Part III focuses on the rapidly expanding new field of network science. This part deals with the recently obtained insight that many very different large complex networks - such as the Internet, World Wide Web, metabolic and human brain networks, utility infrastructures, social networks - evolve and behave according to general common scaling laws. This understanding is useful when assessing the end-to-end quality of Internet services and when designing robust and secure networks. Containing problems and solved solutions, the book is ideal for graduate students taking courses in performance analysis"--
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