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Excessive Backlog Probabilities of Two Parallel Queues

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 نشر من قبل Ali Devin Sezer Dr.
 تاريخ النشر 2018
  مجال البحث
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Let $X$ be the constrained random walk on ${mathbb Z}_+^2$ with increments $(1,0)$, $(-1,0)$, $(0,1)$ and $(0,-1)$; $X$ represents, at arrivals and service completions, the lengths of two queues working in parallel whose service and interarrival times are exponentially distributed with arrival rates $lambda_i$ and service rates $mu_i$, $i=1,2$; we assume $lambda_i < mu_i$, $i=1,2$, i.e., $X$ is assumed stable. Without loss of generality we assume $rho_1 =lambda_1/mu_1 ge rho_2 = lambda_2/mu_2$. Let $tau_n$ be the first time $X$ hits the line $partial A_n = {x in {mathbb Z}^2:x(1)+x(2) = n }$. Let $Y$ be the same random walk as $X$ but only constrained on ${y in {mathbb Z}^2: y(2)=0}$ and its jump probabilities for the first component reversed. Let $partial B ={y in {mathbb Z}^2: y(1) = y(2) }$ and let $tau$ be the first time $Y$ hits $partial B$. The probability $p_n = P_x(tau_n < tau_0)$ is a key performance measure of the queueing system represented by $X$ (probability of overflow of a shared buffer during systems first busy cycle). Stability of $X$ implies $p_n$ decays exponentially in $n$ when the process starts off $partial A_n.$ We show that, for $x_n= lfloor nx rfloor$, $x in {mathbb R}_+^2$, $x(1)+x(2) le 1$, $x(1) > 0$, $P_{(n-x_n(1),x_n(2))}( tau < infty)$ approximates $P_{x_n}(tau_n < tau_0)$ with exponentially vanishing relative error. Let $r = (lambda_1 + lambda_2)/(mu_1 + mu_2)$; for $r^2 < rho_2$ and $rho_1 eq rho_2$, we construct a class of harmonic functions from single and conjugate points on a characteristic surface of $Y$ with which $P_y(tau < infty)$ can be approximated with bounded relative error. For $r^2 = rho_1 rho_2$, we obtain $P_y(tau < infty) = r^{y(1)-y(2)} +frac{r(1-r)}{r-rho_2}left( rho_1^{y(1)} - r^{y(1)-y(2)} rho_1^{y(2)}right).$

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67 - Ali Devin Sezer 2018
Let $X$ be the constrained random walk on ${mathbb Z}_+^2$ taking the steps $(1,0)$, $(-1,1)$ and $(0,-1)$ with probabilities $lambda < (mu_1 eq mu_2)$; in particular, $X$ is assumed stable. Let $tau_n$ be the first time $X$ hits $partial A_n = {x:x( 1)+x(2) = n }$ For $x in {mathbb Z}_+^2, x(1) + x(2) < n$, the probability $p_n(x)= P_x( tau_n < tau_0)$ is a key performance measure for the queueing system represented by $X$. Let $Y$ be the constrained random walk on ${mathbb Z} times {mathbb Z}_+$ with increments $(-1,0)$, $(1,1)$ and $(0,-1)$. Let $tau$ be the first time that the components of $Y$ equal each other. We derive the following explicit formula for $P_y(tau < infty)$: [ P_y(tau < infty) = W(y)= rho_2^{y(1)-y(2)} + frac{mu_2 - lambda}{mu_2 - mu_1} rho_1^{ y(1)-y(2)} rho_1^{y(2)} + frac{mu_2-lambda}{mu_1 -mu_2} rho_2^{y(1)-y(2)} rho_1^{y(2)}, ] where, $rho_i = lambda/mu_i$, $i=1,2$, $y in {mathbb Z}times{ mathbb Z}_+$, $y(1) > y(2)$, and show that $W(n-x_n(1),x_n(2))$ approximates $p_n(x_n)$ with relative error {em exponentially decaying} in $n$ for $x_n = lfloor nx rfloor$, $x in {mathbb R}_+^2$, $0 < x(1) + x(2) < 1$. The steps of our analysis: 1) with an affine transformation, move the origin $(0,0)$ to $(n,0)$ on $partial A_n$; let $n earrow infty$ to remove the constraint on the $x(2)$ axis; this step gives the limit {em unstable} /{em transient} constrained random walk $Y$ and reduces $P_{x}(tau_n < tau_0)$ to $P_y(tau < infty)$; 2) construct a basis of harmonic functions of $Y$ and use it to apply the superposition principle to compute $P_y(tau < infty).$ The construction involves the use of conjugate points on a characteristic surface associated with the walk $X$. The proof that the relative error decays exponentially uses a sequence of subsolutions of a related HJB equation on a manifold.
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