A comparison of the stationary distributions of GI/M/c/n and GI/M/c

被引:7
作者
Simonot, F [1 ]
机构
[1] ESSTIN, F-54500 Vandoeuvre Nancy, France
关键词
GI/M/c/n; Markov chain; convergence rate; l(1) norm;
D O I
10.1239/jap/1032192867
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
In this note, we compare the arrival and time stationary distributions of the number of customers in the GI/M/c/n and GI/M/c queueing systems as n tends to infinity. We show that earlier results established for GI/M/1/n and GI/M/1 remain true. Namely, it is proved that if the interarrival time c.d.f. H is non lattice with mean value lambda(-1) and if the traffic intensity rho = lambda/mu c is strictly less than one, then the convergence rates in l(1) norm of the arrival and time stationary distributions of GI/M/c/ to the corresponding stationary distributions of GI/M/c are geometric and are characterized by omega, the unique solution in (0, 1) of the equation z = integral(0)(infinity) exp(-mu c(1 - z)t) dH(t).
引用
收藏
页码:510 / 515
页数:6
相关论文
共 5 条
[1]  
Asmussen S, 2008, APPL PROBABILITY QUE, V51
[2]  
BRANDTRAUF SI, 1987, SEM OCCUP MED, V2, P321
[3]  
Gross D., 1985, Fundamentals of Queueing Theory
[4]   Convergence rate for the distributions of GI/M/1/n and M/GI/1/n as n tends to infinity [J].
Simonot, F .
JOURNAL OF APPLIED PROBABILITY, 1997, 34 (04) :1049-1060
[5]  
TAKACZ L, 1962, INTRO THEORY QUEUES