2. Kontrak perkuliahan
Kuliah team teaching dengan Pak Achmad Rizal Danisyah (NS-3)
•Presensi : 10%
•Keaktifan di kelas : 10%
•Tugas : 20%
•Tugas besar : 30%
•UTS : 30%
3. Referensi
• Aboelela, E., “Network Simulation Experiments Manual, Second
Edition”, Morgan Kauffman, 2008.
• Peterson, Larry L., Davie, Bruce S., “Computer Networks A
Systems Approach”, Morgan Kauffman, 2007.
4. Tujuan
• Mahasiswa dapat menjelaskan pengertian dari pemodelan &
simulasi
• Mahasiswa dapat mengerti beberapa software simulator yang
dapat digunakan untuk simulasi jaringan telekomunikasi
• Mahasiswa dapat melakukan instalasi software dan
mengoperasikan simulator OPNET Modeler 14.5
6. Pemodelan
•A model is similar to but simpler than the system it represents.
•One purpose of a model is to enable the analyst to predict the effect of changes to the
system.
•A good model is a judicious tradeoff between realism and simplicity.
“On the one hand, a model should be a close approximation to the real system
and incorporate most of its salient features. On the other hand, it should not be so
complex that it is impossible to understand and experiment with it.”
“Modeling is the process of producing a model; a model is a representation of
the construction and working of some system of interest.”
7. Simulasi
•Simulation is used before an existing system is altered or a new
system built, to reduce the chances of failure to meet
specifications, to eliminate unforeseen bottlenecks, to prevent
under or over-utilization of resources, and to optimize system
performance.
“A simulation of a system is the operation of a model of the system”.
8. Simulasi
Simulation can be used to answer questions like:
•What is the best design for a new telecommunications network?
•What are the associated resource requirements?
•How will a telecommunication network perform when the traffic load increases by
50%?
•How will a new routing algorithm affect its performance?
•Which network protocol optimizes network performance?
•What will be the impact of a link failure?
9. Masalah yang tepat untuk disimulasikan
• It is impossible or extremely expensive to observe certain
processes in the real world, e.g., next year's cancer statistics,
performance of the next space shuttle, and the effect of
Internet advertising on a company's sales.
• Problems in which mathematical model can be formulated but
analytic solutions are either impossible (e.g., job shop
scheduling problem, high order difference equations) or too
complicated (e.g., complex systems like the stock market, and
large scale queuing models).