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MODELING AND SIMULATION Using the measures of performance statistics given below, how will you measure the performance of a certain system such as booking a vehicle?

MODELING AND SIMULATION Using the measures of performance statistics given below, how will you measure the performance of a certain system such as booking a vehicle?

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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MODELING AND SIMULATION

Using the measures of performance statistics given below, how will you measure the performance of a certain system such as booking a vehicle?

3. Measures of Performance Statistics System Time System time is an observational output measure. It is the total amount of time that the entity spends in the system. System time begins when the entity arrives in the system and enters the queue. It ends when the entity's service time is complete and it exits the system. а. Queue Time Queue time is also an observational measure. It is similar to system time, except it accounts only for the time that an entity spends in the queue. Queue time is preferred by some developers because they suspect that the most objectionable time period, at least in customer-oriented service processes, is the waiting time in the queue. b. Time-Average Number in Queue The time-average number in queue is a time-dependent statistic. As a time- dependent statistic, the time-average number in queue is not directly a function of the number of entities that have been processed through the queue. It is rather the average number of entities that you could expect to see in the queue at any given time during the period of interest. At any given time the queue will actually have a discrete number of entities. However, because the time-average number in queue is an average value, it will usually yield a number that also has a fractional value. С. d. Utilization Resource utilization is also a time-dependent statistic. At any given time a single resource can be either idle or busy. The idle state corresponds to a resource utilization level of 0. Naturally,
Transcribed Image Text:3. Measures of Performance Statistics System Time System time is an observational output measure. It is the total amount of time that the entity spends in the system. System time begins when the entity arrives in the system and enters the queue. It ends when the entity's service time is complete and it exits the system. а. Queue Time Queue time is also an observational measure. It is similar to system time, except it accounts only for the time that an entity spends in the queue. Queue time is preferred by some developers because they suspect that the most objectionable time period, at least in customer-oriented service processes, is the waiting time in the queue. b. Time-Average Number in Queue The time-average number in queue is a time-dependent statistic. As a time- dependent statistic, the time-average number in queue is not directly a function of the number of entities that have been processed through the queue. It is rather the average number of entities that you could expect to see in the queue at any given time during the period of interest. At any given time the queue will actually have a discrete number of entities. However, because the time-average number in queue is an average value, it will usually yield a number that also has a fractional value. С. d. Utilization Resource utilization is also a time-dependent statistic. At any given time a single resource can be either idle or busy. The idle state corresponds to a resource utilization level of 0. Naturally,
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