Using Parallel Computing in Queueing Network Simulation

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The paper is devoted to the simulation of queueing networks on high performance computer clusters. The objective is to develop a mathematical model of queueing network and simulation approach to the modelling of the general network functionality, as well as to provide a software implementation on a high-performance computer cluster. The simulation is based on a discrete-event approach, object oriented programming, and MPI technology. The model of the queueing networks simulation system was developed as an application that allows a user to simulate networks of rather free configuration. The experiments on a high performance computer cluster emphasize the high efficiency of parallel computing.

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943-947

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February 2016

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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[1] A.N. Moiseev, M.V. Sinyakov, Development of an object-oriented system model simulation of queuing processes, Tomsk State University Journal of Control and Computer Science. 1 (2010) 89–93.

Google Scholar

[2] J.R. Artalejo, A. Gomez-Corall, Retrial Queueing Systems. A Computational Approach, Sprnger, Berlin, (2008).

Google Scholar

[3] A.A. Nazarov, A.N. Moiseev, Analysis of an open non-Markovian GI–(GI|∞)K queueing network with high-rate renewal arrival process, Problems of Information Transmission. 49 (2013) 167–178.

DOI: 10.1134/s0032946013020063

Google Scholar

[4] A. Moiseev, S. Moiseeva, M. Sinyakov, Basic object model layer domain system simulation of queuing processes, in Proc. of Int. Conf. on Application Of Information And Communication Technology In Economy And Education (ICAICTEE-2011), University Of National And World Economy, Sofia, 2011, p.230.

Google Scholar

[5] A.Y. Demin, V.A. Dorofeev, Parallelization of the boundaries of objects extraction algorithm based on structural and graphical representation, Bulletin of Tomsk Polytechnic University. 323 (2013) 159–164.

Google Scholar