Chapter 11 CD Supplement – Additional Queueing Models
1. Given the same utilization factor, waiting time in the queue will be less for a finite queue
than the corresponding value for the M/M/s model.
2. The utilization factor for the finite queue variation must be less than 1 in order for the
system to reach a steady state.
3. When designing a queueing system with a finite queue, one important decision is how
much waiting room to provide.
4. The finite calling population queueing model is appropriate when the potential calling
population is relatively small.
5. The Erlang distribution has less variability than the exponential distribution for the same
mean.
6. The Erlang distribution with k = 4 has higher variability than the Erlang distribution with k
= 2.
11s-2
7. A basic difference between infinite calling population and finite calling population
queueing models is:
8. Rank the exponential, degenerate, Erlang (k = 2), and Erlang (k = 4) distributions from
highest to lowest variability, given the same mean.