Question

Let $b$ be the busy period of the server in the M/G/1 queueing system, that is, the time from a server start up to service a customer (after an idle period) until the server is again idle: Kleinrock [32] shows that $$ E[b]=\frac{W_s}{1-\rho}, $$ (note that this is the average time a customer spends in an $\mathrm{M} / \mathrm{M} / 1$ system), and $$ E\left[b^2\right]=\frac{E\left[s^2\right]}{(1-\rho)^3}, $$ so that $$ \sigma_b^2=\frac{\sigma_s^2+\rho W_s^2}{(1-\rho)^3} . $$ Find $E[b], E\left[b^2\right]$, and $\sigma_b^2$ in terms of the system parameters for (a) the $\mathrm{M} / \mathrm{M} / 1$ queueing system, (b) the $\mathrm{M} / E_k / 1$ queueing system, and (c) the M/D/1 queueing system.

   Let $b$ be the busy period of the server in the M/G/1 queueing system, that is, the time from a server start up to service a customer (after an idle period) until the server is again idle: Kleinrock [32] shows that
$$
E[b]=\frac{W_s}{1-\rho},
$$
(note that this is the average time a customer spends in an $\mathrm{M} / \mathrm{M} / 1$ system), and
$$
E\left[b^2\right]=\frac{E\left[s^2\right]}{(1-\rho)^3},
$$
so that
$$
\sigma_b^2=\frac{\sigma_s^2+\rho W_s^2}{(1-\rho)^3} .
$$
Find $E[b], E\left[b^2\right]$, and $\sigma_b^2$ in terms of the system parameters for
(a) the $\mathrm{M} / \mathrm{M} / 1$ queueing system,
(b) the $\mathrm{M} / E_k / 1$ queueing system, and
(c) the M/D/1 queueing system.
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Probability, Statistics, and Queuing Theory with Computer Science Applications, Second Edition (Computer Science and Scientific Computing)
Probability, Statistics, and Queuing Theory with Computer Science Applications, Second Edition (Computer Science and Scientific Computing)
Arnold O. Allen 2nd Edition
Chapter 5, Problem 53 ↓

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Let $b$ be the busy period of the server in the M/G/1 queueing system, that is, the time from a server start up to service a customer (after an idle period) until the server is again idle: Kleinrock [32] shows that $$ E[b]=\frac{W_s}{1-\rho}, $$ (note that this is the average time a customer spends in an $\mathrm{M} / \mathrm{M} / 1$ system), and $$ E\left[b^2\right]=\frac{E\left[s^2\right]}{(1-\rho)^3}, $$ so that $$ \sigma_b^2=\frac{\sigma_s^2+\rho W_s^2}{(1-\rho)^3} . $$ Find $E[b], E\left[b^2\right]$, and $\sigma_b^2$ in terms of the system parameters for (a) the $\mathrm{M} / \mathrm{M} / 1$ queueing system, (b) the $\mathrm{M} / E_k / 1$ queueing system, and (c) the M/D/1 queueing system.
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