Details
Original language | English |
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Title of host publication | Information Technology |
Subtitle of host publication | Selected Tutorials - IFIP 18th World Computer Congress, WCC 2004 |
Pages | 271-304 |
Number of pages | 34 |
ISBN (electronic) | 978-1-4020-8159-0 |
Publication status | Published - 2004 |
Event | IFIP 18th World Computer Congress, WCC 2004 - Toulouse, France Duration: 22 Aug 2004 → 27 Aug 2004 |
Publication series
Name | IFIP Advances in Information and Communication Technology |
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Volume | 157 |
ISSN (Print) | 1868-4238 |
Abstract
As complexity of computer and communication systems increases, it becomes hard to analyze the system via analytic models. Measurement based system evaluation may be too expensive. In this tutorial, discrete event simulation as a model based technique is introduced. This is widely used for the performance/availability assessment of complex stochastic systems. Importance of applying a systematic methodology for building correct, problem dependent, and credible simulation models is discussed. These will be made evident by relevant experiments for different real-life problems and interpreting their results. The tutorial starts providing motivation for using simulation as a methodology for solving problems, different types of simulation (steady state vs. terminating simulation) and pros and cons of analytic versus simulative solution of a model. This also includes different classes of simulation tools existing today. Methods of random deviate generation to drive simulations are discussed. Output analysis, involving statistical concepts like point estimate, interval estimate, confidence interval and methods for generating it, is also covered. Variance reduction and speedup techniques like importance sampling, importance splitting and regenerative simulation are also mentioned. The tutorial discusses some of the most widely used simulation packages like OPNET MODELER and ns-2. Finally the tutorial provides several networking examples covering TCP/IP, FTP and RED.
Keywords
- OPNET MODELER and ns-2, Random variate, Simulation, Statistical analysis, TCP/IP
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Computer Networks and Communications
- Decision Sciences(all)
- Information Systems and Management
Cite this
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- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Information Technology: Selected Tutorials - IFIP 18th World Computer Congress, WCC 2004. 2004. p. 271-304 (IFIP Advances in Information and Communication Technology; Vol. 157).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Discrete event simulation with application to computer communication systems performance
T2 - IFIP 18th World Computer Congress, WCC 2004
AU - Szczerbicka, Helena
AU - Trivedi, Kishor S.
AU - Choudhary, Pawan K.
PY - 2004
Y1 - 2004
N2 - As complexity of computer and communication systems increases, it becomes hard to analyze the system via analytic models. Measurement based system evaluation may be too expensive. In this tutorial, discrete event simulation as a model based technique is introduced. This is widely used for the performance/availability assessment of complex stochastic systems. Importance of applying a systematic methodology for building correct, problem dependent, and credible simulation models is discussed. These will be made evident by relevant experiments for different real-life problems and interpreting their results. The tutorial starts providing motivation for using simulation as a methodology for solving problems, different types of simulation (steady state vs. terminating simulation) and pros and cons of analytic versus simulative solution of a model. This also includes different classes of simulation tools existing today. Methods of random deviate generation to drive simulations are discussed. Output analysis, involving statistical concepts like point estimate, interval estimate, confidence interval and methods for generating it, is also covered. Variance reduction and speedup techniques like importance sampling, importance splitting and regenerative simulation are also mentioned. The tutorial discusses some of the most widely used simulation packages like OPNET MODELER and ns-2. Finally the tutorial provides several networking examples covering TCP/IP, FTP and RED.
AB - As complexity of computer and communication systems increases, it becomes hard to analyze the system via analytic models. Measurement based system evaluation may be too expensive. In this tutorial, discrete event simulation as a model based technique is introduced. This is widely used for the performance/availability assessment of complex stochastic systems. Importance of applying a systematic methodology for building correct, problem dependent, and credible simulation models is discussed. These will be made evident by relevant experiments for different real-life problems and interpreting their results. The tutorial starts providing motivation for using simulation as a methodology for solving problems, different types of simulation (steady state vs. terminating simulation) and pros and cons of analytic versus simulative solution of a model. This also includes different classes of simulation tools existing today. Methods of random deviate generation to drive simulations are discussed. Output analysis, involving statistical concepts like point estimate, interval estimate, confidence interval and methods for generating it, is also covered. Variance reduction and speedup techniques like importance sampling, importance splitting and regenerative simulation are also mentioned. The tutorial discusses some of the most widely used simulation packages like OPNET MODELER and ns-2. Finally the tutorial provides several networking examples covering TCP/IP, FTP and RED.
KW - OPNET MODELER and ns-2
KW - Random variate
KW - Simulation
KW - Statistical analysis
KW - TCP/IP
UR - http://www.scopus.com/inward/record.url?scp=84869083914&partnerID=8YFLogxK
U2 - 10.1007/1-4020-8159-6_10
DO - 10.1007/1-4020-8159-6_10
M3 - Conference contribution
AN - SCOPUS:84869083914
SN - 9781402081583
T3 - IFIP Advances in Information and Communication Technology
SP - 271
EP - 304
BT - Information Technology
Y2 - 22 August 2004 through 27 August 2004
ER -