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One of the super-quants on your team was able to adapt the learning curve formula to predict the failure rate of servers in the server

One of the super-quants on your team was able to adapt the learning curve formula to predict the failure rate of servers in the server farm.

F(x) = Ae^(Gx)= 8.8e^(0.08(10x)

F(x) = number of failures in a population of 100,000 servers of age x

A = Initial mortality rate

G = Exponential rate of increase mortality for an increase in age x

e = Mathematical expression (Function EXP in excel) which approximates 2.71828...

Based on the equation above derive failure rate from age 2.5 to 9.0 years.

Assume the average server costs $100,000 and the average age of your server farm is 7 years.Your ops team suggest that they are reducing the average failure rate of your server farm from 4% to 1% in order to service enterprise customers - what would this mean to your cost basis?

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