LEADER 06462nam 2200649 450 001 9910139511003321 005 20221206171134.0 010 $a1-282-49132-6 010 $a9786612491320 010 $a0-470-51521-X 010 $a0-470-51520-1 024 7 $a10.1002/9780470515211 035 $a(CKB)2550000000006554 035 $a(EBL)480422 035 $a(SSID)ssj0000340818 035 $a(PQKBManifestationID)11265603 035 $a(PQKBTitleCode)TC0000340818 035 $a(PQKBWorkID)10387093 035 $a(PQKB)11002803 035 $a(MiAaPQ)EBC480422 035 $a(CaBNVSL)mat08040181 035 $a(IDAMS)0b00006485f0e68f 035 $a(IEEE)8040181 035 $a(PPN)262085623 035 $a(OCoLC)587063572 035 $a(EXLCZ)992550000000006554 100 $a20171024d2008 uy 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aNetwork modeling and simulation $ea practical perspective /$fMohsen Guizani ... [et al.] 210 1$aChichester, West Sussex, U.K. :$cWiley,$d2010. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2010] 215 $a1 online resource (300 p.) 300 $aDescription based upon print version of record. 311 $a0-470-03587-0 320 $aIncludes bibliographical references and index. 327 $aPreface -- Acknowledgements -- 1 Basic Concepts and Techniques -- 1.1 Why Is Simulation Important? -- 1.2 What Is a Model? -- 1.3 Performance Evaluation Techniques -- 1.4 Development of Systems Simulation -- 1.5 Summary -- Recommended Reading -- 2 Designing and Implementing a Discrete-Event Simulation Framework -- 2.1 The Scheduler -- 2.2 The Simulation Entities -- 2.3 The Events -- 2.4 Tutorial 1: Hello World -- 2.5 Tutorial 2: Two-Node Hello Protocol -- 2.6 Tutorial 3: Two-Node Hello through a Link -- 2.7 Tutorial 4: Two-Node Hello through a Lossy Link -- 2.8 Summary -- Recommended Reading -- 3 Honeypot Communities: A Case Study with the Discrete-Event Simulation Framework -- 3.1 Background -- 3.2 System Architecture -- 3.3 Simulation Modeling -- 3.4 Simulation Execution -- 3.5 Output Analysis -- 3.6 Summary -- Recommended Reading -- 4 Monte Carlo Simulation -- 4.1 Characteristics of Monte Carlo Simulations -- 4.2 The Monte Carlo Algorithm -- 4.3 Merits and Drawbacks -- 4.4 Monte Carlo Simulation for the Electric Car Charging Station -- 4.5 Summary -- Recommended Reading -- 5 Network Modeling -- 5.1 Simulation of Networks -- 5.2 The Network Modeling and Simulation Process -- 5.3 Developing Models -- 5.4 Network Simulation Packages -- 5.5 OPNET: A Network Simulation Package -- 5.6 Summary -- Recommended Reading -- 6 Designing and Implementing CASiNO: A Network Simulation Framework -- 6.1 Overview -- 6.2 Conduits -- 6.3 Visitors -- 6.4 The Conduit Repository -- 6.5 Behaviors and Actors -- 6.6 Tutorial 1: Terminals -- 6.7 Tutorial 2: States -- 6.8 Tutorial 3: Making Visitors -- 6.9 Tutorial 4: Muxes -- 6.10 Tutorial 5: Factories -- 6.11 Summary -- Recommended Reading -- 7 Statistical Distributions and Random Number Generation -- 7.1 Introduction to Statistical Distributions -- 7.2 Discrete Distributions -- 7.3 Continuous Distributions -- 7.4 Augmenting CASiNO with Random Variate Generators -- 7.5 Random Number Generation -- 7.6 Frequency and Correlation Tests -- 7.7 Random Variate Generation. 327 $a7.8 Summary -- Recommended Reading -- 8 Network Simulation Elements: A Case Study Using CASiNO -- 8.1 Making a Poisson Source of Packets -- 8.2 Making a Protocol for Packet Processing -- 8.3 Bounding Protocol Resources -- 8.4 Making a Round-Robin (De)multiplexer -- 8.5 Dynamically Instantiating Protocols -- 8.6 Putting It All Together -- 8.7 Summary -- 9 Queuing Theory -- 9.1 Introduction to Stochastic Processes -- 9.2 Discrete-Time Markov Chains -- 9.3 Continuous-Time Markov Chains -- 9.4 Basic Properties of Markov Chains -- 9.5 Chapman / Kolmogorov Equation -- 9.6 Birth / Death Process -- 9.7 Little's Theorem -- 9.8 Delay on a Link -- 9.9 Standard Queuing Notation -- 9.10 The M/M/1 Queue -- 9.11 The M/M/m Queue -- 9.12 The M/M/1/b Queue -- 9.13 The M/M/m/m Queue -- 9.14 Summary -- Recommended Reading -- 10 Input Modeling and Output Analysis -- 10.1 Data Collection -- 10.2 Identifying the Distribution -- 10.3 Estimation of Parameters for Univariate Distributions -- 10.4 Goodness-of-Fit Tests -- 10.5 Multivariate Distributions -- 10.6 Selecting Distributions without Data -- 10.7 Output Analysis -- 10.8 Summary -- Recommended Reading -- 11 Modeling Network Traffic -- 11.1 Introduction -- 11.2 Network Traffic Models -- 11.3 Traffic Models for Mobile Networks -- 11.4 Global Optimization Techniques -- 11.5 Particle Swarm Optimization -- 11.6 Optimization in Mathematics -- 11.7 Summary -- Recommended Reading -- Index. 330 $aNetwork Modeling and Simulation is a practical guide to using modeling and simulation to solve real-life problems. The authors give a comprehensive exposition of the core concepts in modeling and simulation, and then systematically address the many practical considerations faced by developers in modeling complex large-scale systems. The authors provide examples from computer and telecommunication networks and use these to illustrate the process of mapping generic simulation concepts to domain-specific problems in different industries and disciplines. Key features: . Provides the tools and strategies needed to build simulation models from the ground up rather than providing solutions to specific problems.. Includes a new simulation tool, CASiNO built by the authors.. Examines the core concepts of systems simulation and modeling.. Presents code examples to illustrate the implementation process of commonly encountered simulation tasks.. Offers examples of industry-standard modeling methodology that can be applied in steps to tackle any modeling problem in practice. 606 $aSimulation methods 606 $aMathematical models 606 $aNetwork analysis (Planning)$xMathematics 615 0$aSimulation methods. 615 0$aMathematical models. 615 0$aNetwork analysis (Planning)$xMathematics. 676 $a003.346 701 $aGuizani$b Mohsen$0846524 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910139511003321 996 $aNetwork modeling and simulation$92231450 997 $aUNINA