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If a proposed system's performance is difficult to model analytically, which approach is most suitable for estimating its performance?
If a proposed system's performance is difficult to model analytically, which approach is most suitable for estimating its performance?
- Conduct a simulation study to empirically measure performance metrics. (correct)
- Employ a queuing theory model based on simplifying assumptions.
- Use Little's Law to approximate average system behavior.
- Apply a deterministic fluid-flow model to predict system throughput.
A company wants to evaluate the performance of a new search algorithm. Which metric would be most appropriate for quantifying the algorithm's accuracy?
A company wants to evaluate the performance of a new search algorithm. Which metric would be most appropriate for quantifying the algorithm's accuracy?
- Resource utilization (CPU, memory)
- Latency (time per query)
- Throughput (queries per second)
- Precision and recall (correct)
In a system where requests arrive randomly but are processed in a fixed order, which queuing model is most applicable for analysis?
In a system where requests arrive randomly but are processed in a fixed order, which queuing model is most applicable for analysis?
- M/G/1
- M/M/1
- M/D/1 (correct)
- G/G/1
When comparing different system designs using simulation, what technique helps ensure statistically significant results and reduces the impact of random variations?
When comparing different system designs using simulation, what technique helps ensure statistically significant results and reduces the impact of random variations?
Consider a service system where the arrival rate ($\lambda$) is 10 requests per second and the average service time ($\mu$) is 0.08 seconds per request. What is the utilization ($\rho$) of the server?
Consider a service system where the arrival rate ($\lambda$) is 10 requests per second and the average service time ($\mu$) is 0.08 seconds per request. What is the utilization ($\rho$) of the server?
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