Virtual Labs

Physical Sciences Queuing Theory and Modelling Experiments

Aim

Theory

Pretest

Procedure

Simulation

Posttest

References

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Aim

Theory

Pretest

Procedure

Simulation

Posttest

References

Contributors

Feedback

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

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Beginner

Intermediate

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What distinguishes the arrival process in a GI/M/1/N queueing system?

a: Deterministic arrival pattern Explanation

Explanation

b: Poisson arrival process Explanation

Explanation

c: Exponential inter-arrival times Explanation

Explanation

d: General probability distribution for arrivals Explanation

Explanation

What is the significance of the 'N' parameter in the GI/M/1/N queueing system?

a: Mean service rate Explanation

Explanation

b: Maximum number of customers the system can accommodate Explanation

Explanation

c: Markovian arrival pattern Explanation

Explanation

d: Memoryless service time Explanation

Explanation

What happens if the number of customers in the system exceeds the 'N' parameter in a GI/M/1/N queueing system?

a: Additional servers are added to handle the overflow Explanation

Explanation

b: Excess customers are served immediately Explanation

Explanation

c: New arrivals are rejected, resulting in system overflow Explanation

Explanation

d: Service times increase exponentially Explanation

Explanation

How does the 'M' parameter differ from the 'N' parameter in the GI/M/1/N queueing system?

a: M represents the number of service stages, while N represents the number of servers Explanation

Explanation

b: M represents the service rate, while N represents the maximum number of customers Explanation

Explanation

c: M represents the arrival rate, while N represents the number of servers Explanation

Explanation

d: M represents the service time distribution is Markovian, while N represents the maximum number of customers Explanation

Explanation

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