Cardinal rational approximants for performance analysis of stochastic discrete event systems

Author

Gong, Wei-Bo ; Yang, Hong

Author_Institution

Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA

fYear

1993

fDate

15-17 Dec 1993

Firstpage

3183

Abstract

Performance index functions with integer parameters are important in the analysis of computer systems, communication networks and general distributed and parallel processing systems. Most of these performance functions have nice properties such as monotonicity, convexity, analyticity, etc. These properties make it possible to use rational functions to extrapolate the performance functions. In this paper we illustrate this approach through several examples. Our numerical results suggest that this approach could lead to a powerful tool for many applications

Keywords

approximation theory; discrete time systems; extrapolation; performance index; stochastic systems; analyticity; cardinal rational approximants; communication networks; computer systems; convexity; distributed processing; extrapolation; monotonicity; parallel processing; performance analysis; performance index functions; rational functions; stochastic discrete event systems; Analytical models; Communication networks; Computer networks; Concurrent computing; Discrete event systems; Distributed computing; Fading; Parallel processing; Performance analysis; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-1298-8

Type

conf

DOI

10.1109/CDC.1993.325789

Filename

325789