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Performance evaluation by simulation and analysis with applications to computer networks /

This book is devoted to the most used methodologies for performance evaluation: simulation using specialized software and mathematical modeling. An important part is dedicated to the simulation, particularly in its theoretical framework and the precautions to be taken in the implementation of the ex...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chen, Ken (Engineer) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK : Hoboken, NJ : ISTE, Ltd. ; Wiley, 2015.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Chen, Ken  |c (Engineer),  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjtrVVYDccH8kdwwwBv3pP 
245 1 0 |a Performance evaluation by simulation and analysis with applications to computer networks /  |c Ken Chen. 
264 1 |a London, UK :  |b ISTE, Ltd. ;  |a Hoboken, NJ :  |b Wiley,  |c 2015. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (John Wiley, viewed February 17, 2015). 
505 0 |a Cover -- Title Page -- Copyright -- Contents -- List of Tables -- List of Figures -- List of Listings -- Preface -- 1: Performance Evaluation -- 1.1. Performance evaluation -- 1.2. Performance versus resources provisioning -- 1.2.1. Performance indicators -- 1.2.2. Resources provisioning -- 1.3. Methods of performance evaluation -- 1.3.1. Direct study -- 1.3.2. Modeling -- 1.4. Modeling -- 1.4.1. Shortcomings -- 1.4.2. Advantages -- 1.4.3. Cost of modeling -- 1.5. Types of modeling -- 1.6. Analytical modeling versus simulation 
505 8 |a PART 1: Simulation2: Introduction to Simulation -- 2.1. Presentation -- 2.2. Principle of discrete event simulation -- 2.2.1. Evolution of a event-driven system -- 2.2.2. Model programming -- 2.2.2.1. Scheduler -- 2.2.2.2. Object-oriented programming -- 2.3. Relationship with mathematical modeling -- 3: Modeling of Stochastic Behaviors -- 3.1. Introduction -- 3.2. Identification of stochastic behavior -- 3.3. Generation of random variables -- 3.4. Generation of U(0, 1) r.v. -- 3.4.1. Importance of U(0, 1) r.v. -- 3.4.2. Von Neumann's generator 
505 8 |a 3.4.3. The LCG generators3.4.3.1. Presentation -- 3.4.3.2. Properties -- 3.4.3.2.1. MLCG with M = 2k -- 3.4.3.2.2. MLCG with M primer number -- 3.4.3.3. Examples of LCG -- 3.4.4. Advanced generators -- 3.4.4.1. Principle -- 3.4.4.2. Mersenne Twister generator -- 3.4.4.3. L'Ecuyer's generator -- 3.4.5. Precaution and practice -- 3.4.5.1. Nature of the PRNG -- 3.4.5.2. Choice of seed -- 3.4.5.3. Multiples substreams of RNG -- 3.4.5.3.1. Principle -- 3.4.5.3.2. Example of OMNeT++ -- 3.4.5.4. Quality of the PRNG 
505 8 |a 3.5. Generation of a given distribution3.5.1. Inverse transformation method -- 3.5.2. Acceptance rejection method -- 3.5.2.1. Case of finite support -- 3.5.2.2. Generalized version -- 3.5.3. Generation of discrete r.v. -- 3.5.3.1. Case of the finite discrete r.v. -- 3.5.3.2. Case of countably infinite discrete r.v. -- 3.5.4. Particular case -- 3.5.4.1. Composition -- 3.5.4.2. Convolution -- 3.6. Some commonly used distributions and their generation -- 3.6.1. Uniform distribution -- 3.6.1.1. Utilization -- 3.6.1.2. Parameters -- 3.6.1.3. Generation 
505 8 |a 3.6.2. Triangular distribution3.6.2.1. Utilization -- 3.6.2.2. Parameters -- 3.6.2.3. Generation -- 3.6.3. Exponential distribution -- 3.6.3.1. Utilization -- 3.6.3.1.1. Arrival process -- 3.6.3.1.2. Memoryless phenomena -- 3.6.3.2. Parameter -- 3.6.3.3. Generation -- 3.6.4. Pareto distribution -- 3.6.4.1. Utilization -- 3.6.4.2. Parameters -- 3.6.4.3. Generation -- 3.6.5. Normal distribution -- 3.6.5.1. Utilization -- 3.6.5.2. Parameters -- 3.6.5.3. Generation -- 3.6.6. Log-normal distribution -- 3.6.6.1. Utilization -- 3.6.6.2. Parameters 
520 |a This book is devoted to the most used methodologies for performance evaluation: simulation using specialized software and mathematical modeling. An important part is dedicated to the simulation, particularly in its theoretical framework and the precautions to be taken in the implementation of the experimental procedure. These principles are illustrated by concrete examples achieved through operational simulation languages (OMNeT ++, OPNET). Presented under the complementary approach, the mathematical method is essential for the simulation. Both methodologies based largely on the theory of. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Computer networks  |x Evaluation. 
650 6 |a Réseaux d'ordinateurs  |x Évaluation. 
650 7 |a COMPUTERS  |x Computer Literacy.  |2 bisacsh 
650 7 |a COMPUTERS  |x Computer Science.  |2 bisacsh 
650 7 |a COMPUTERS  |x Data Processing.  |2 bisacsh 
650 7 |a COMPUTERS  |x Hardware  |x General.  |2 bisacsh 
650 7 |a COMPUTERS  |x Information Technology.  |2 bisacsh 
650 7 |a COMPUTERS  |x Machine Theory.  |2 bisacsh 
650 7 |a COMPUTERS  |x Reference.  |2 bisacsh 
650 7 |a Computer networks  |x Evaluation  |2 fast 
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776 0 8 |i Print version:  |a Chen, Ken.  |t Performance evaluation by simulation and analysis with applications to computer networks.  |d London, [England] ; Hoboken, New Jersey : ISTE Limited : John Wiley & Sons, ©2015  |h xxvii, 279 pages  |z 9781848217478 
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