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State space collapse for multi-class queueing networks under SBP service policies
     
  
  
刊名:
Queueing systems: Theory and applications
作者:
Cao, Chang
(Cornell Univ)
Dai, J. G.
(Cornell Univ)
Zhang, Xiangyu
(Cornell Univ)
刊号:
513LB020
ISSN:
0257-0130
出版年:
2022
年卷期:
2022, vol.102, no.1/2
页码:
87-122
总页数:
36
分类号:
O13
关键词:
State space collapse
;
Heavy traffic
;
Fluid model
;
HEAVY TRAFFIC LIMITS
;
DIFFUSION APPROXIMATIONS
参考中译:
语种:
eng
文摘:
In Braverman et al. [3], the authors justify the steady-state diffusion approximation of a multiclass queueing network under static buffer priority policy in heavy traffic. A major assumption in [3] is the moment state space collapse (moment-SSC) property of the steady-state queue length. In this paper, we prove that moment-SSC holds under a corresponding state space collapse condition on the fluid model. Our approach is inspired by Dai and Meyn [8], which was later adopted by Budhiraja and Lee [4] to justify the diffusion approximation for generalized Jackson networks. We will verify that the fluid state space collapse holds for various networks.
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