| 000 | 02647cam a22002775a 4500 | ||
|---|---|---|---|
| 001 | 18037158 | ||
| 005 | 20160113144844.0 | ||
| 008 | 140208s2014 enka b 001 0 eng | ||
| 020 | _a9781107058606 (hardback) | ||
| 040 |
_aDLC _beng _cDLC _dDLC _dEG-ScBUE |
||
| 082 | 0 | 4 |
_a003.015192 _222 _bVAN |
| 100 | 1 |
_aVan Mieghem, Piet. _937105 |
|
| 245 | 1 | 0 |
_aPerformance analysis of complex networks and systems / _cPiet Van Mieghem. |
| 260 |
_aCambridge : _bCambridge University Press, _cc.2014. |
||
| 300 |
_axvi, 675 p. : _bill. ; _c26 cm. |
||
| 500 | _aIndex : p. 673-675. | ||
| 504 | _aBibliography : p. 663-672. | ||
| 505 | 8 | _aMachine 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. | |
| 520 | _a"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"-- | ||
| 650 | 7 |
_aSystem analysis _xMathematics. _2BUEsh _939046 |
|
| 650 | 7 |
_aComputational complexity. _2BUEsh _911175 |
|
| 650 | 7 |
_aNetwork analysis (Planning) _2BUEsh _935688 |
|
| 651 | _2BUEsh | ||
| 653 |
_bCOMSCI _cJuly2015 _cJanuary2016 |
||
| 942 | _2ddc | ||
| 999 |
_c20372 _d20344 |
||