The computer center at Rockbottom University has been experiencing computer downtime. Let us assume that the trials of an associated Markov process are defined as one-hour periods and that the probability of the system being in a running state or a down state is based on the state of the system in the previous period. Historical data show the following transition probabilities:
To | ||
From | Running | Down |
Running | 0.80 | 0.20 |
Down | 0.30 | 0.70 |
a. the system is initially running, what is the probability of
the system being down in the next hour of operation? If required,
round your answers to two decimal places.
The probability of the system is
b. What are the steady-state probabilities of the system being
in the running state and in the down state? If required, round your
answers to two decimal places.
Pie 1 =
Pie 2 =
Answer:
Given that:
To | ||
From | Running | Down |
Running | 0.80 | 0.20 |
Down | 0.30 | 0.70 |
a) The system is initially running, what is the probability of the system being down in the next hour of operation?
If the system is initially running, then the probability of it being down in the next hour is 0.20 from the table, it's obvious.
(b) What are the steady-state probabilities of the system being in the running state and in the down state?
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