The professional writers and translators working for MD&TS use an on-line computerized publication system.
For this system, management was interested in determining the effect of different system configuration, on performance. Specifically, for a given system configuration, management was interested in determining the following:
1. the probability of user being refused access by the system because of an excess number of users.
2. the probability of any specific number of users being on the system simultaneously.
A computer simulation model was developed for the purpose of determining these probability. In order to build the simulation model, it was necessary to identify the probability distribution for two key random variable:
1. The On Time per session (the length of time a user in on the system).
2. The Idle Time per session (the length of time between sessions).
Based on a survey of users, the probability distribution of on time per session was approximated as shown in the table below. Another probability distribution was developed for the random variable indicating idle time per session. These two probability distribution were key inputs to the simulation model. The results from the simulation study helped MD&TS to determine a system configuration that ensured access to the system.
Probability distributions, such as the ones used by Xerox Corporation in this simulation study, are studied in this chapter that are available and about when these distributions should be used. We will learn about some of the discrete probability distribution
The professional writers and translators working for MD&TS use an on-line computerized publication system.For this system, management was interested in determining the effect of different system configuration, on performance. Specifically, for a given system configuration, management was interested in determining the following:1. the probability of user being refused access by the system because of an excess number of users.2. the probability of any specific number of users being on the system simultaneously.A computer simulation model was developed for the purpose of determining these probability. In order to build the simulation model, it was necessary to identify the probability distribution for two key random variable:1. The On Time per session (the length of time a user in on the system).2. The Idle Time per session (the length of time between sessions). Based on a survey of users, the probability distribution of on time per session was approximated as shown in the table below. Another probability distribution was developed for the random variable indicating idle time per session. These two probability distribution were key inputs to the simulation model. The results from the simulation study helped MD&TS to determine a system configuration that ensured access to the system. Probability distributions, such as the ones used by Xerox Corporation in this simulation study, are studied in this chapter that are available and about when these distributions should be used. We will learn about some of the discrete probability distribution
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