Simulation of queueing models in computer systems
Queueing theory and applications
Discrete event simulation: a practical approach
Discrete event simulation: a practical approach
Modeling and simulation of computer systems and networks part II: computer systems
Simulation - Special Issue: modeling and simulation of computer systems and networks: part two
Statistical analysis of simulation output
Proceedings of the 29th conference on Winter simulation
Information Sciences: an International Journal
Network simulation of a major railroad
Proceedings of the 30th conference on Winter simulation
Validation and verification of simulation models
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Applied system simulation: a review study
Information Sciences—Informatics and Computer Science: An International Journal
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Wireless Networks
Hi-index | 0.00 |
Simulation is a powerful tool that can be used to mimic the behavior of almost any system. This chapter provides an overview of the basics of applied system simulation. In order for the simulation results to be useful for decision making, the model must be verified and validated. An understanding of random number generation and random variate generation is essential before embarking on any simulation project. The programming language or software package that will be used to translate the model into a computerized form must be chosen carefully based on the objectives and requirements of the simulation study. Furthermore, simulation experiments must be conducted in order to understand the behavior of the system under study.