000			03158nam a22003978i 4500
001			CR9781107415874
005			20250919142038.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			130724s2014||||enk o ||1 0|eng|d
020			_a9781107415874 (ebook)
020			_z9781107058606 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aT57 _b.V36 2014
082	0	0	_a003.01/5192 _223
100	1		_aVan Mieghem, Piet, _eauthor.
245	1	0	_aPerformance analysis of complex networks and systems / _cPiet Van Mieghem, Delft University of Technology.
246	3		_aPerformance Analysis of Complex Networks & Systems
264		1	_aCambridge : _bCambridge University Press, _c2014.
300			_a1 online resource (xvi, 675 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
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			_aThis 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		0	_aSystem analysis _xMathematics.
650		0	_aComputational complexity.
650		0	_aNetwork analysis (Planning)
776	0	8	_iPrint version: _z9781107058606
856	4	0	_uhttps://doi.org/10.1017/CBO9781107415874
907			_a.b16843411 _b2020-12-22 _c2020-12-22
942			_n0
998			_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b16843411
999			_c651685 _d651685