On the diffusion approximation to a fork and join queueing model
SIAM Journal on Applied Mathematics
Simple necessary and sufficient conditions for the stability of constrained processes
SIAM Journal on Applied Mathematics
A Skorokhod Problem formulation and large deviation analysis of a processor sharing model
Queueing Systems: Theory and Applications
Heavy traffic approximations of large deviations of feedforward queueing networks
Queueing Systems: Theory and Applications
Queueing Systems: Theory and Applications
Efficient simulation of buffer overflow probabilities in jackson networks with feedback
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Reflected Brownian motion in the quadrant: tail behavior of the stationary distribution
Queueing Systems: Theory and Applications
Tail asymptotics for a Lévy-driven tandem queue with an intermediate input
Queueing Systems: Theory and Applications
Conjectures on tail asymptotics of the marginal stationary distribution for a multidimensional SRBM
Queueing Systems: Theory and Applications
Variational problem in the non-negative orthant of R3: reflective faces and boundary influence cones
Queueing Systems: Theory and Applications
Stationary distribution of a two-dimensional SRBM: geometric views and boundary measures
Queueing Systems: Theory and Applications
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We study a variational problem (VP) that is related to semimartingale reflecting Brownian motions (SRBMs). Specifically, this VP appears in the large deviations analysis of the stationary distribution of SRBMs in the d-dimensional orthant Rd+. When d=2, we provide an explicit analytical solution to the VP. This solution gives an appealing characterization of the optimal path to a given point in the quadrant and also provides an explicit expression for the optimal value of the VP. For each boundary of the quadrant, we construct a “cone of boundary influence”, which determines the nature of optimal paths in different regions of the quadrant. In addition to providing a complete solution in the 2-dimensional case, our analysis provides several results which may be used in analyzing the VP in higher dimensions and more general state spaces.