MULTIDIMENSIONAL RESIDUES, GENERATING-FUNCTIONS, AND THEIR APPLICATION TO QUEUING-NETWORKS

被引:20
作者
BERTOZZI, A
MCKENNA, J
机构
[1] PRINCETON UNIV,DEPT MATH,PRINCETON,NJ 08544
[2] BELL COMMUN RES INC,MORRISTOWN,NJ 07962
关键词
QUEUING THEORY; MULTIDIMENSIONAL RESIDUES; GENERATING FUNCTIONS;
D O I
10.1137/1035045
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper has two goals: the first is to introduce applied mathematicians to a new technique involving several complex variable residue theory. This is a multidimensional extension of a well-known result for functions of one complex variable [P. Griffiths and J. Harris, Principles of Algebraic Geometry, John Wiley and Sons, New York, 1978] that yields useful asymptotic information when applied to generating functions. The authors begin by reviewing the residue theory of one complex variable, noting that there are useful sets of relationships between the residues of certain rational functions. They use the one-dimensional theory to rederive and extend a well-known result of Koenigsberg [P. G. Harrison, Oper. Res., 33 (1985), pp. 464-468]. These relationships, to a degree, can be found for residues of the analogous rational functions of several complex variables. The second goal is to apply these tools to the study of product form queueing networks. It is well known that for generating functions of a single variable, residue theory turns out to be a very powerful tool for studying the asymptotic behavior of the coefficients. In this paper, the authors investigate how these ideas extend to the study of multidimensional generating functions. Then they demonstrate these techniques on generating functions which arise from the theory of product form queueing networks. In particular, they compute explicitly the generating function of the partition function for a variety of networks. Then, using these generating functions, they demonstrate the utility and limitations of these techniques.
引用
收藏
页码:239 / 268
页数:30
相关论文
共 25 条
[1]  
AIZENBURG LA, 1983, INTEGRAL REPRESENTAT
[2]  
[Anonymous], 1979, REVERSIBILITY STOCHA
[3]   OPEN, CLOSED, AND MIXED NETWORKS OF QUEUES WITH DIFFERENT CLASSES OF CUSTOMERS [J].
BASKETT, F ;
CHANDY, KM ;
MUNTZ, RR ;
PALACIOS, FG .
JOURNAL OF THE ACM, 1975, 22 (02) :248-260
[4]  
BERMAN A, 1971, MATH PROGRAM, V1, P291
[5]  
Bruell S. C., 1980, COMPUTATIONAL ALGORI
[6]  
GELENBE E, 1980, ANAL SYNTHESIS COMPU
[7]   THE EVALUATION OF NORMALIZING CONSTANTS IN CLOSED QUEUING-NETWORKS [J].
GORDON, JJ .
OPERATIONS RESEARCH, 1990, 38 (05) :863-869
[8]  
Griffiths P, 1978, PRINCIPLES ALGEBRAIC
[9]   ON NORMALIZING CONSTANTS IN QUEUING-NETWORKS [J].
HARRISON, PG .
OPERATIONS RESEARCH, 1985, 33 (02) :464-468
[10]   NETWORKS OF QUEUES [J].
KELLY, FP .
ADVANCES IN APPLIED PROBABILITY, 1976, 8 (02) :416-432