University of Kansas Electrical Engineering & Computer Science

Sample Network Simulation Models using Extend

• Example Networks
  • Example Network with Layers 1, 2, and 3 (one DLC)
  • Example Network with Layers 1, 2, and 3 (two DLC's)
  • Rounting Example
• Basic Markov Processes
  • Arrival Process
• Birth-Death Process (Average Number in System)
• Statistical Multiplexer M/M/1/ (Average Delay)
• Statistical Multiplexers-Infinite System Size
  • Statistical Multiplexer-Delay vs Load Study (Example of Use of Extend Database and Write to Excel)
  • Statistical Multiplexer-Confidence Interval Using Replication
  • Statistical Multiplexer-Confidence Interval Using Batch Means
• Queue Management/Scheduling
• Statistical Multiplexer with Non-preemptive Priority
• Weighted Round Robin Example
• Demonstration of Capacity Sharing
• Three Sources with Three isolated l Statistical Multiplexer
• One Link Three Sources Statistical Multiplexer
• Finite Systems
  • M/M/K Model (Call center model: showing each server)
  • M/M/K Model with general number of servers
  • Statistical Multiplexer with Finite Buffer -M/M/1/N (router output port model)
  • Statistical Multiplexer with Finite Buffer with Throughput Measurement (M/M/1/N)
  • Telephone Switch Model -M/M/K/K Detailed showing blocking process
  • General M/M/K/K
• Token Ring
  • Token Ring Model
  • Token Ring with Exhaustive Service
  • Token Ring serving all waiting upon arrival
• Data Link Control Protocols
  • Sliding Window Data link Control Protocol
  • Stop and Wait Data Link Control Protocol with Errors and Fixed Length Packets and No Packet Queue
  • Stop and Wait Data Link Control Protocol with Fixed Length Packet, Errors, and Packet Queue
  • Selective Repeat ARQ Model With Errors
  • Leaky Bucket Rate Open Loop Rate Control
• Networks of Queues
  • Model of a Computer System-Open Network
  • Model of a Computer System-Closed Network
  • Model of a Cyclic Queueing System-Closed Network
• Advanced Monels
  • Two State Discrete Time Markov Chain
  • Three State Discrete Time Markov Chain
  • Pareto_Message_Length_Example
  • MMPP Model

Author