000			03074nam a2200409 i 4500
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008			220601s2013 sz | o |||| 0|eng d
020			_a9783031792601
024	7		_a10.1007/978-3-031-79260-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.5 _b2013 EB
100	1		_aMazumdar, Ravi Rasendra _d1955- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687109
245	1	0	_aPerformance Modeling, Stochastic Networks, and Statistical Multiplexing _cby Ravi Mazumdar
250			_a2nd edition 2013
264		1	_aCham _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XIV, 197 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Learning Networks and Algorithms _x2690-4314
505	0		_aIntroduction to Traffic Models and Analysis -- Queues and Performance Analysis -- Loss Models for Networks -- Stochastic Networks and Insensitivity -- Statistical Multiplexing.
520			_aThis monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of introducing an appropriate mathematical framework for modeling and analysis as well as understanding the phenomenon of statistical multiplexing. The models, techniques, and results presented form the core of traffic engineering methods used to design, control and allocate resources in communication networks.The novelty of the monograph is the fresh approach and insights provided by a sample-path methodology for queueing models that highlights the important ideas of Palm distributions associated with traffic models and their role in computing performance measures. The monograph also covers stochastic network theory including Markovian networks. Recent results on network utility optimization and connections to stochastic insensitivity are discussed. Also presented are ideas of large buffer, and many sources asymptotics that play an important role in understanding statistical multiplexing. In particular, the important concept of effective bandwidths as mappings from queueing level phenomena to loss network models is clearly presented along with a detailed discussion of accurate approximations for large networks.
988			_aSynthesis Collection of Technology_2013
650		7	_2embne _9141354 _aRedes informáticas
650		7	_2embne _9150207 _aMultiplexores
776	0	8	_iPrinted edition: _z9783031792595
776	0	8	_iPrinted edition: _z9783031792618
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79260-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eb _zSI