{"product_id":"network-modeling-and-simulation-9780470035870","title":"Network Modeling and Simulation","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eNetwork Modeling and Simulation: Concepts and Applications  introduces the basic concepts behind using modeling and simulation in solving real-life problems. It addresses some of the practical limitations that are usually faced by developers when modeling complex or large-scale systems, as well as some of the ways to alleviate these problems.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface.  \u003cp\u003eAcknowledgements.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Basic Concepts and Techniques.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Why Is Simulation Important?\u003c\/p\u003e \u003cp\u003e1.2 What Is a Model?\u003c\/p\u003e \u003cp\u003e1.3 Performance Evaluation Techniques.\u003c\/p\u003e \u003cp\u003e1.4 Development of Systems Simulation.\u003c\/p\u003e \u003cp\u003e1.5 Summary.\u003c\/p\u003e \u003cp\u003eRecommended Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Designing and Implementing a Discrete-Event Simulation Framework.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 The Scheduler.\u003c\/p\u003e \u003cp\u003e2.2 The Simulation Entities.\u003c\/p\u003e \u003cp\u003e2.3 The Events.\u003c\/p\u003e \u003cp\u003e2.4 Tutorial 1: Hello World.\u003c\/p\u003e \u003cp\u003e2.5 Tutorial 2: Two-Node Hello Protocol.\u003c\/p\u003e \u003cp\u003e2.6 Tutorial 3: Two-Node Hello through a Link.\u003c\/p\u003e \u003cp\u003e2.7 Tutorial 4: Two-Node Hello through a Lossy Link.\u003c\/p\u003e \u003cp\u003e2.8 Summary.\u003c\/p\u003e \u003cp\u003eRecommended Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Honeypot Communities: A Case Study with the Discrete-Event Simulation Framework.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Background.\u003c\/p\u003e \u003cp\u003e3.2 System Architecture.\u003c\/p\u003e \u003cp\u003e3.3 Simulation Modeling.\u003c\/p\u003e \u003cp\u003e3.4 Simulation Execution.\u003c\/p\u003e \u003cp\u003e3.5 Output Analysis.\u003c\/p\u003e \u003cp\u003e3.6 Summary.\u003c\/p\u003e \u003cp\u003eRecommended Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Monte Carlo Simulation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Characteristics of Monte Carlo Simulations.\u003c\/p\u003e \u003cp\u003e4.2 The Monte Carlo Algorithm.\u003c\/p\u003e \u003cp\u003e4.3 Merits and Drawbacks.\u003c\/p\u003e \u003cp\u003e4.4 Monte Carlo Simulation for the Electric Car Charging Station.\u003c\/p\u003e \u003cp\u003e4.5 Summary.\u003c\/p\u003e \u003cp\u003eRecommended Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Network Modeling.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Simulation of Networks.\u003c\/p\u003e \u003cp\u003e5.2 The Network Modeling and Simulation Process.\u003c\/p\u003e \u003cp\u003e5.3 Developing Models.\u003c\/p\u003e \u003cp\u003e5.4 Network Simulation Packages.\u003c\/p\u003e \u003cp\u003e5.5 OPNET: A Network Simulation Package.\u003c\/p\u003e \u003cp\u003e5.6 Summary.\u003c\/p\u003e \u003cp\u003eRecommended Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Designing and Implementing CASiNO: A Network Simulation Framework.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Overview.\u003c\/p\u003e \u003cp\u003e6.2 Conduits.\u003c\/p\u003e \u003cp\u003e6.3 Visitors.\u003c\/p\u003e \u003cp\u003e6.4 The Conduit Repository.\u003c\/p\u003e \u003cp\u003e6.5 Behaviors and Actors.\u003c\/p\u003e \u003cp\u003e6.6 Tutorial 1: Terminals.\u003c\/p\u003e \u003cp\u003e6.7 Tutorial 2: States.\u003c\/p\u003e \u003cp\u003e6.8 Tutorial 3: Making Visitors.\u003c\/p\u003e \u003cp\u003e6.9 Tutorial 4: Muxes.\u003c\/p\u003e \u003cp\u003e6.10 Tutorial 5: Factories.\u003c\/p\u003e \u003cp\u003e6.11 Summary.\u003c\/p\u003e \u003cp\u003eRecommended Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Statistical Distributions and Random Number Generation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction to Statistical Distributions.\u003c\/p\u003e \u003cp\u003e7.2 Discrete Distributions.\u003c\/p\u003e \u003cp\u003e7.3 Continuous Distributions.\u003c\/p\u003e \u003cp\u003e7.4 Augmenting CASiNO with Random Variate Generators.\u003c\/p\u003e \u003cp\u003e7.5 Random Number Generation.\u003c\/p\u003e \u003cp\u003e7.6 Frequency and Correlation Tests.\u003c\/p\u003e \u003cp\u003e7.7 Random Variate Generation.\u003c\/p\u003e \u003cp\u003e7.8 Summary.\u003c\/p\u003e \u003cp\u003eRecommended Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Network Simulation Elements: A Case Study Using CASiNO.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Making a Poisson Source of Packets.\u003c\/p\u003e \u003cp\u003e8.2 Making a Protocol for Packet Processing.\u003c\/p\u003e \u003cp\u003e8.3 Bounding Protocol Resources.\u003c\/p\u003e \u003cp\u003e8.4 Making a Round-Robin (De)multiplexer.\u003c\/p\u003e \u003cp\u003e8.5 Dynamically Instantiating Protocols.\u003c\/p\u003e \u003cp\u003e8.6 Putting It All Together.\u003c\/p\u003e \u003cp\u003e8.7 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Queuing Theory.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction to Stochastic Processes.\u003c\/p\u003e \u003cp\u003e9.2 Discrete-Time Markov Chains.\u003c\/p\u003e \u003cp\u003e9.3 Continuous-Time Markov Chains.\u003c\/p\u003e \u003cp\u003e9.4 Basic Properties of Markov Chains.\u003c\/p\u003e \u003cp\u003e9.5 Chapman–Kolmogorov Equation.\u003c\/p\u003e \u003cp\u003e9.6 Birth–Death Process.\u003c\/p\u003e \u003cp\u003e9.7 Little’s Theorem.\u003c\/p\u003e \u003cp\u003e9.8 Delay on a Link.\u003c\/p\u003e \u003cp\u003e9.9 Standard Queuing Notation.\u003c\/p\u003e \u003cp\u003e9.10 The \u003ci\u003eM\/M\/\u003c\/i\u003e1 Queue.\u003c\/p\u003e \u003cp\u003e9.11 The \u003ci\u003eM\/M\/m\u003c\/i\u003e Queue.\u003c\/p\u003e \u003cp\u003e9.12 The \u003ci\u003eM\/M\/\u003c\/i\u003e1\u003ci\u003e\/b\u003c\/i\u003e Queue.\u003c\/p\u003e \u003cp\u003e9.13 The \u003ci\u003eM\/M\/m\/m\u003c\/i\u003e Queue.\u003c\/p\u003e \u003cp\u003e9.14 Summary.\u003c\/p\u003e \u003cp\u003eRecommended Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Input Modeling and Output Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Data Collection.\u003c\/p\u003e \u003cp\u003e10.2 Identifying the Distribution.\u003c\/p\u003e \u003cp\u003e10.3 Estimation of Parameters for Univariate Distributions.\u003c\/p\u003e \u003cp\u003e10.4 Goodness-of-Fit Tests.\u003c\/p\u003e \u003cp\u003e10.5 Multivariate Distributions.\u003c\/p\u003e \u003cp\u003e10.6 Selecting Distributions without Data.\u003c\/p\u003e \u003cp\u003e10.7 Output Analysis.\u003c\/p\u003e \u003cp\u003e10.8 Summary.\u003c\/p\u003e \u003cp\u003eRecommended Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Modeling Network Traffic.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction.\u003c\/p\u003e \u003cp\u003e11.2 Network Traffic Models.\u003c\/p\u003e \u003cp\u003e11.3 Traffic Models for Mobile Networks.\u003c\/p\u003e \u003cp\u003e11.4 Global Optimization Techniques.\u003c\/p\u003e \u003cp\u003e11.5 Particle Swarm Optimization.\u003c\/p\u003e \u003cp\u003e11.6 Optimization in Mathematics.\u003c\/p\u003e \u003cp\u003e11.7 Summary.\u003c\/p\u003e \u003cp\u003eRecommended Reading.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49525363212631,"sku":"9780470035870","price":72.15,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470035870.jpg?v=1731860234","url":"https:\/\/bookcurl.com\/products\/network-modeling-and-simulation-9780470035870","provider":"Book Curl","version":"1.0","type":"link"}