Approximation of Excessive Backlog Probabilities of Two Tandem Queues
Abstract
Let X be the constrained random walk on Z+2 taking the steps (1,0), (-1,1) and (0,-1) with probabilities λ < (μ1≠ μ2); in particular, X is assumed stable. Let τn be the first time X hits ∂ An = \x:x(1)+x(2) = n \ For x ∈ Z+2, x(1) + x(2) < n, the probability pn(x)= Px( τn < τ0) is a key performance measure for the queueing system represented by X. Let Y be the constrained random walk on Z × Z+ with increments (-1,0), (1,1) and (0,-1). Let τ be the first time that the components of Y equal each other. We derive the following explicit formula for Py(τ < ∞): \[ Py(τ < ∞) = W(y)= 2y(1)-y(2) + μ2 - λμ2 - μ1 1 y(1)-y(2) 1y(2) + μ2-λμ1 -μ2 2y(1)-y(2) 1y(2), \] where, i = λ/μi, i=1,2, y ∈ Z× Z+, y(1) > y(2), and show that W(n-xn(1),xn(2)) approximates pn(xn) with relative error exponentially decaying in n for xn = nx , x ∈ 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 ∂ An; let n ∞ to remove the constraint on the x(2) axis; this step gives the limit unstable / transient constrained random walk Y and reduces Px(τn < τ0) to Py(τ < ∞); 2) construct a basis of harmonic functions of Y and use it to apply the superposition principle to compute Py(τ < ∞). 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.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.