Question

Prove that, for the $M / G / 1$ queueing system, $$ \begin{aligned} \sigma_N^2= & \frac{\lambda^3 E\left[s^3\right]}{3(1-\rho)}+\left(\frac{\lambda^2 E\left[s^2\right]}{2(1-\rho)}\right)^2 \\ & +\frac{\lambda^2(3-2 \rho) E\left[s^2\right]}{2(1-\rho)}+\rho(1-\rho) \end{aligned} $$

   Prove that, for the $M / G / 1$ queueing system,
$$
\begin{aligned}
\sigma_N^2= & \frac{\lambda^3 E\left[s^3\right]}{3(1-\rho)}+\left(\frac{\lambda^2 E\left[s^2\right]}{2(1-\rho)}\right)^2 \\
& +\frac{\lambda^2(3-2 \rho) E\left[s^2\right]}{2(1-\rho)}+\rho(1-\rho)
\end{aligned}
$$
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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 40 ↓

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Step 1

The $M/G/1$ queueing system is a single-server queueing model where arrivals are modeled by a Poisson process with rate $\lambda$, the service times are generally distributed with a service time distribution $S$, and there is only one server. The traffic intensity  Show more…

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Prove that, for the $M / G / 1$ queueing system, $$ \begin{aligned} \sigma_N^2= & \frac{\lambda^3 E\left[s^3\right]}{3(1-\rho)}+\left(\frac{\lambda^2 E\left[s^2\right]}{2(1-\rho)}\right)^2 \\ & +\frac{\lambda^2(3-2 \rho) E\left[s^2\right]}{2(1-\rho)}+\rho(1-\rho) \end{aligned} $$
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