By Topic

Efficient solution of multiple server queues with application to the modeling of ATM concentrators

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Kamal, A.E. ; Dept. of Electr. & Comput. Eng., Kuwait Univ., Safat, Kuwait

This paper introduces a method for obtaining the steady state probabilities in G[X]/D/C/K type queues. The solution method is more efficient than other known techniques in terms of both time and space requirements. The method is an extension of the MBH technique used to solve single server queues, It is shown that this method allows one to perform a parametric study quickly and efficiently by building on already existing results. The solution technique is used to evaluate the performance of concentrators used in ATM networks where low speed lines are connected to higher speed ones, e.g., 150 Mb/s lines to a 620 Mb/s or 1.2 Gb/s line. The concentrator is equipped with a finite capacity buffer, and is modeled as a synchronous multiple server queue with finite buffer. The concentrator is fed by a discrete batch Markov arrival process (D-BMAP) which is capable of capturing the traffic characteristics of a broad range of applications. The paper derives the probability of cell loss introduced by the concentrator buffering, and considers the effect of the buffer size as well as the line speeds on this measure

Published in:

INFOCOM '96. Fifteenth Annual Joint Conference of the IEEE Computer Societies. Networking the Next Generation. Proceedings IEEE  (Volume:1 )

Date of Conference:

24-28 Mar 1996