000 06497nam a2200553 i 4500
001 8040181
003 IEEE
005 20220712211752.0
006 m o d
007 cr |n|||||||||
008 171024s2008 maua ob 001 eng d
010 _z 2009038749 (print)
015 _zGBA732857 (print)
016 _z013735771 (print)
020 _a9780470515211
_qelectronic
020 _z9780470035870
_qcloth
020 _z0470035870
_qcloth
024 7 _a10.1002/9780470515211
_2doi
035 _a(CaBNVSL)mat08040181
035 _a(IDAMS)0b00006485f0e68f
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aT57.62
_b.N48 2010eb
082 0 0 _a003/.3
_222
245 0 0 _aNetwork modeling and simulation :
_ba practical perspective /
_cMohsen Guizani ... [et al.].
264 1 _aChichester, West Sussex, U.K. :
_bWiley,
_c2010.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2010]
300 _a1 PDF (xiii, 281 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _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.
505 8 _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.
506 _aRestricted to subscribers or individual electronic text purchasers.
520 _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.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 10/24/2017.
650 0 _aSimulation methods.
_930865
650 0 _aMathematical models.
_94632
650 0 _aNetwork analysis (Planning)
_xMathematics.
_930866
655 0 _aElectronic books.
_93294
700 1 _aGuizani, Mohsen.
_919055
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_930867
710 2 _aWiley,
_epublisher.
_930868
776 0 8 _iPrint version:
_z9780470035870
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8040181
942 _cEBK
999 _c74929
_d74929