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1.2.1.1. Consider x0(b)

Оглавление

By differentiating x0(b) with respect to b, we have


PROPOSITION 1.1.– By studying the derivative of x0(b) w.r.t. b, we observe

 1) if f’(b) is negative, then an increase in b leads to an increase in the probability that the system is empty;

 2) if f’(b) is positive, then the probability that the system is empty could be increasing or decreasing, depending on whether respectively. Hence, an increase in the arrival rate as a function of the service rate does not necessarily mean a decrease in the emptiness probability.

We obtain additional information by considering the rate of increase in the probability of empty system as a rate of increase in the service completion probability, i.e.


PROPOSITION 1.2.– If f(b) is convex and f’(b) < 0, then x0(b) is definitely concave. if f(b) is decreasing fast, then x0(b) is increasing slowly, i.e. f(b) decreasing faster than increases. If, however, f(b) is convex and then x0(b) is convex.

Queueing Theory 1

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