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Aim

Theory

Pretest

Procedure

Simulation

Posttest

References

Contributors

Feedback

Infinite capacity single server queue with general distributed arrivals and exponential service (GI/M/1)

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What does 'GI' represent in the GI/M/1 queueing system?

a: Gaussian distribution for arrivals Explanation

Explanation

b: General inter-arrival time distribution Explanation

Explanation

c: Geometric distribution for arrivals Explanation

Explanation

d: Global service rate distribution Explanation

Explanation

How does the utilization factor 'ρ' affect the performance of a GI/M/1 queue?

a: Higher ρ leads to lower average waiting times. Explanation

Explanation

b: Lower ρ leads to higher system stability. Explanation

Explanation

c: ρ does not affect the performance of the system. Explanation

Explanation

d: Higher ρ leads to higher probabilities of queue overflow. Explanation

Explanation

In a GI/M/1 queueing system, what distribution characterizes the service times?

a: Gaussian distribution Explanation

Explanation

b: Poisson distribution Explanation

Explanation

c: Exponential distribution Explanation

Explanation

d: Uniform distribution Explanation

Explanation

What happens to the average waiting time in a GI/M/1 queue as the variability of inter-arrival times increases?

a: It decreases. Explanation

Explanation

b: It remains constant. Explanation

Explanation

c: It increases. Explanation

Explanation

d: It depends on the service rate. Explanation

Explanation

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