Let be the constrained random walk on with increments , , and ; 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 and service rates , ; we assume , , i.e., is assumed stable. Without loss of generality we assume . Let be the first time hits the line $\partial A_n = {x \in {\mathbb Z}^2:x(1)+x(2) = n }YX{y \in {\mathbb Z}^2: y(2)=0}$ and its jump probabilities for the first component reversed. Let and let be the first time hits . The probability $p_n = P_x(\tau_n < \tau_0)$ is a key performance measure of the queueing system represented by (probability of overflow of a shared buffer during system’s first busy cycle). Stability of implies decays exponentially in when the process starts off We show that, for $x_n= \lfloor nx \rfloorx \in {\mathbb R}+^2x(1)+x(2) \le 1x(1) > 0P{(n-x_n(1),x_n(2))}( \tau < \infty)P_{x_n}(\tau_n < \tau_0)r = (\lambda_1 + \lambda_2)/(\mu_1 + \mu_2)r^2 < \rho_2\rho_1 \neq \rho_2$, we construct a class of harmonic functions from single and conjugate points on a characteristic surface of with which can be approximated with bounded relative error. For , we obtain $P_y(\tau < \infty) = r^{y(1)-y(2)} +\frac{r(1-r)}{r-\rho_2}\left( \rho_1^{y(1)} - r^{y(1)-y(2)} \rho_1^{y(2)}\right).$

生成讲解博客的中文版本

生成AI智能校验的中文版本