Computer Server Down Probability

In summary, the problem involves determining the probability of the server being fixed at least once in the next 7 days, given that it runs smoothly for Exp(0.2) days and takes Exp(0.5) days to fix. It also asks for the probability of the server being down on Friday t=4, given that it was running on Sunday t=6. The use of Markov chains may be necessary to solve this problem, and finding the innitesimal generators may help in determining the probabilities.
  • #1
iikii
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Moved from a technical forum, so homework template missing
So the problem asks:

A computer server runs smoothly for Exp(0.2) days and then takes Exp(0.5)days to fix. The server is running fine on Monday morning, t=0. Find the probability that the server was fixed at least once (i.e. at least one complete repair was done) in the next 7 days and the probability that the server was down on Friday t = 4 given that it was running next Sunday t = 6. (W are conditioning on the `future'. )

So do I have to use Markov chain to do this problem? If so, do I need to find out the innitesimal generators to find the probability? I appreciate your insights!
 
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  • #2
iikii said:
So the problem asks:

A computer server runs smoothly for Exp(0.2) days and then takes Exp(0.5)days to fix. The server is running fine on Monday morning, t=0. Find the probability that the server was fixed at least once (i.e. at least one complete repair was done) in the next 7 days and the probability that the server was down on Friday t = 4 given that it was running next Sunday t = 6. (W are conditioning on the `future'. )

So do I have to use Markov chain to do this problem? If so, do I need to find out the innitesimal generators to find the probability? I appreciate your insights!

Try it and see for yourself. Of course, if you are studying Markov processes in the course, that would be a pretty strong hint.
 

What is Computer Server Down Probability?

Computer Server Down Probability is a statistical measure that estimates the likelihood of a computer server experiencing an outage or failure within a given period of time. It is typically expressed as a percentage or decimal value.

Why is it important to know the Computer Server Down Probability?

Knowing the Computer Server Down Probability can help organizations plan and prepare for potential server failures. It can also help them determine the necessary infrastructure and resources needed to minimize downtime and mitigate the impact of a server outage.

How is Computer Server Down Probability calculated?

Computer Server Down Probability is calculated by dividing the total number of server failures by the total number of server hours within a given time period. This calculation is based on historical data and can vary depending on the type of server and its usage.

What factors can affect Computer Server Down Probability?

Several factors can influence Computer Server Down Probability, including the age and condition of the server, the type and complexity of the applications running on the server, and the level of maintenance and monitoring performed on the server.

How can organizations reduce Computer Server Down Probability?

To minimize the likelihood of server downtime, organizations can implement redundant servers, regularly perform maintenance and updates, and have a disaster recovery plan in place. They can also invest in high-quality hardware and ensure proper monitoring and troubleshooting procedures are in place.

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