Question

You are required to simulate the following system using event-driven simulation. You may use the programming language of your choice. Consider a Queuing system that has a single server and single finite-buffer queue. The server serves packets one at a time from the front of the queue, first-come-first-served (FCFS) Queue. Assume that the arrival process is Poisson (i.e. inter-arrival times are exponential random variable) with mean of $\lambda$. In addition, the service time of the jobs at the router have an exponential distribution with rate parameter $\mu$. The system has a finite number of queue size such that the total number of packets in the system (queuing plus one in the server) is no more than K. When the buffer is full any new generated packet is dropped. Simulate the above system for 5000 events. Measure and provide plots the following measures: 1. The expected average delay in queue. 2. The expected number of packets in queue. 3. The expected utilization. 4. Number of delay packets. 5. Maximum delay in queue. 6. Expected number of dropping packets.

          You are required to simulate the following system using event-driven simulation. You may use the
programming language of your choice.
Consider a Queuing system that has a single server and single finite-buffer queue. The server serves
packets one at a time from the front of the queue, first-come-first-served (FCFS) Queue. Assume that
the arrival process is Poisson (i.e. inter-arrival times are exponential random variable) with mean of $\lambda$.
In addition, the service time of the jobs at the router have an exponential distribution with rate parameter
$\mu$. The system has a finite number of queue size such that the total number of packets in the system
(queuing plus one in the server) is no more than K. When the buffer is full any new generated packet
is dropped.
Simulate the above system for 5000 events. Measure and provide plots the following measures:
1. The expected average delay in queue.
2. The expected number of packets in queue.
3. The expected utilization.
4. Number of delay packets.
5. Maximum delay in queue.
6. Expected number of dropping packets.

You are required to simulate the following system using event-driven simulation. You may use the
programming language of your choice.
Consider a Queuing system that has a single server and single finite-buffer queue. The server serves
packets one at a time from the front of the queue, first-come-first-served (FCFS) Queue. Assume that
the arrival process is Poisson (i.e. inter-arrival times are exponential random variable) with mean of λ.
In addition, the service time of the jobs at the router have an exponential distribution with rate parameter
μ. The system has a finite number of queue size such that the total number of packets in the system
(queuing plus one in the server) is no more than K. When the buffer is full any new generated packet
is dropped.
Simulate the above system for 5000 events. Measure and provide plots the following measures:
1. The expected average delay in queue.
2. The expected number of packets in queue.
3. The expected utilization.
4. Number of delay packets.
5. Maximum delay in queue.
6. Expected number of dropping packets.

Added by Kristina W.

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