activity
20122021
most citedAdmission Control for Double-ended Queues

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2021★ 2 cited

Admission Control for Double-ended Queues

Xin Liu, Ananda Weerasinghe

We consider a controlled double-ended queue consisting of two classes of customers, labeled sellers and buyers. The sellers and buyers arrive in a trading market according to two i…

math.PR2019

Splitting Algorithms for Rare Events of Semimartingale Reflecting Brownian motions

Kevin Leder, Xin Liu, Zicheng Wang

We study rare event simulations of semimartingale reflecting Brownian motions (SRBMs) in an orthant. The rare event of interest is that a -dimensional positive recurrent SRBM en…

q-bio.PE2018

Approximation Methods for Analyzing Multiscale Stochastic Vector-borne Epidemic Models

Xin Liu, Anuj Mubayi, Dominik Reinhold +1

Stochastic epidemic models, generally more realistic than deterministic counterparts, have often been seen too complex for rigorous mathematical analysis because of level of detail…

math.PR2016★ 1 cited

Diffusion Approximations for Double-ended Queues with Reneging in Heavy Traffic

Xin Liu

We study a double-ended queue which consists of two classes of customers. Whenever there is a pair of customers from both classes, they are matched and leave the system immediately…

math.PR2015

Construction of Asymptotically Optimal Control for a Stochastic Network from a Free Boundary Problem

Amarjit Budhiraja, Xin Liu, Subhamay Saha

An asymptotic framework for optimal control of multiclass stochastic processing networks, using formal diffusion approximations under suitable temporal and spatial scaling, by Brow…

math.PR2012

Dynamic Scheduling for Markov Modulated Single-server Multiclass Queueing Systems in Heavy Traffic

Amarjit Budhiraja, Arka Ghosh, Xin Liu

This paper studies a scheduling control problem for a single-server multiclass queueing network in heavy traffic, operating in a changing environment. The changing environment is m…