DocumentCode :
1806225
Title :
XMGM: performance modeling using matrix geometric techniques
Author :
Haverkort, Boudewijn R. ; Van Moorsel, Aad P A ; Speelman, Dirk-Jan
Author_Institution :
Dept. of Comput. Sci., Twente Univ., Enschede, Netherlands
fYear :
1994
fDate :
31 Jan-2 Feb 1994
Firstpage :
152
Lastpage :
157
Abstract :
Over the last two decades a considerable amount of effort has been put in the development and application of matrix geometric techniques for the analysis of queueing systems of which the (embedded) Markov chain exhibits a regular structure. Most of this work however has been presented in either a mathematical context or an a purely application-oriented context. In this paper we present XMGM, a performance analysis tool which allows its users to easily specify queueing systems in terms of interarrival and service time distributions. XMGM then takes care of the translation of this description to an underlying Markov chain that exhibits a matrix geometric solution. Subsequently, it takes care of the derivation of the measures specified by the user. With XMGM models are specified via C procedure calls. This turns out to be a very flexible approach for modelling queueing systems; it also allows for the easy evaluation of models over parameter ranges
Keywords :
Markov processes; matrix algebra; performance evaluation; queueing theory; software tools; C procedure calls; XMGM; embedded Markov chain; interarrival time; matrix geometric techniques; performance modeling; queueing systems; service time; Analytical models; Closed-form solution; Computer architecture; Iterative methods; Mathematical model; Mathematics; Numerical simulation; Performance analysis; Queueing analysis; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 1994., MASCOTS '94., Proceedings of the Second International Workshop on
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-5292-6
Type :
conf
DOI :
10.1109/MASCOT.1994.284430
Filename :
284430
Link To Document :
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