ON THE CONVERGENCE OF MULTICLASS QUEUEING NETWORKS IN HEAVY TRAFFIC

被引:38
作者
Dai, J. G. [1 ]
Vien Nguyen
机构
[1] Georgia Inst Technol, Sch Math & Ind Syst Engn, Atlanta, GA 30332 USA
关键词
Multiclass queueing network; heavy traffic; diffusion approximation; reflecting Brownian motion; performance analysis;
D O I
10.1214/aoap/1177005199
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
The subject of this paper is the heavy traffic behavior of a general class of queueing networks with first-in first-out (FIFO) service discipline. For special cases that require various assumptions on the network structure, several authors have proved heavy traffic limit theorems to justify the approximation of queueing networks by reflecting Brownian motions. Based on these theorems, some have conjectured that the Brownian approximation may in fact be valid for a more general class of queueing networks. In this paper, we prove that the Brownian approximation does not hold for such a general class of networks. Our finding suggest that it may be fruitful to consider a more general class of approximating processes.
引用
收藏
页码:26 / 42
页数:17
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