Stein's method;
diffusion approximation;
steady-state;
many servers;
state space collapse;
convergence rate;
HEAVY-TRAFFIC LIMITS;
SPACE COLLAPSE;
ASYMPTOTIC OPTIMALITY;
QUEUING-NETWORKS;
QUEUES;
STATIONARITY;
THEOREMS;
HALFIN;
D O I:
10.1214/16-AAP1211
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
We consider M/Ph/n + M queueing systems in steady state. We prove that the Wasserstein distance between the stationary distribution of the normalized system size process and that of a piecewise Ornstein Uhlenbeck (OU) process is bounded by C/root T., where the constant C is independent of the arrival rate A and the number of servers n as long as they are in the HalfinWhitt parameter regime. For each integer m > 0, we also establish a similar bound for the difference of the mth steady-state moments. For the proofs, we develop a modular framework that is based on Stein's method. The framework has three components: Poisson equation, generator coupling, and state space collapse. The framework, with further refinement, is likely applicable to steady-state diffusion approximations for other stochastic systems.
机构:
Northwestern Univ, Kellogg Sch Management, Evanston, IL 60201 USANorthwestern Univ, Kellogg Sch Management, Evanston, IL 60201 USA
Braverman, Anton
Dai, J. G.
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机构:
Cornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY 14853 USA
Chinese Univ Hong, Shenzhen Res Inst Big Data, Sch Data Sci, Shenzhen 518172, Longgang Distri, Peoples R ChinaNorthwestern Univ, Kellogg Sch Management, Evanston, IL 60201 USA
Dai, J. G.
Fang, Xiao
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机构:
Chinese Univ Hong Kong, Dept Stat, Hong Kong, Peoples R ChinaNorthwestern Univ, Kellogg Sch Management, Evanston, IL 60201 USA