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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
MapReduce Based
Experimental Frame for Parallel and Distributed Simulation Using Hadoop Platform |
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Authors: |
Byeong Soo Kim, Sun Ju Lee,Tag Gon
Kim, Hae Sang Song |
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Published in:
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(2014).ECMS 2014 Proceedings edited
by: Flaminio Squazzoni,
Fabio Baronio, Claudia Archetti,
Marco Castellani European Council for
Modeling and Simulation. doi:10.7148/2014 ISBN:
978-0-9564944-8-1 28th
European Conference on Modelling and Simulation, Brescia,
Italy, May 27th – 30th,
2014 |
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Citation
format: |
Byeong Soo Kim, Sun Ju Lee,Tag Gon
Kim, Hae Sang Song (2014). MapReduce Based Experimental Frame for Parallel and
Distributed Simulation Using Hadoop Platform, ECMS
2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio,
Claudia Archetti, Marco Castellani European
Council for Modeling and Simulation. doi:10.7148/2014-0664 |
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DOI: |
http://dx.doi.org/10.7148/2014-0664 |
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Abstract: |
Simulation-based experiment
of complex systems is a time consuming-job. Parallel and distributed simulation
is one of the methods to reduce the simulation time. To simulate and analyze
the system with this method, it is required to design a suitable experimental
frame. Therefore, this paper proposes a MapReduce
based experimental frame for the parallel and distributed simulation. Because
Hadoop MapReduce is the
most widely used parallel and distributed computing platform, we use it to
design the experimental frame. In our work, the ‘map’ of MapReduce
automatically generates and simulates the system, and the ‘reduce’ of MapReduce collects and analyzes the result. We can reuse
the existing large scale Hadoop clusters without
any modification of the platform, so it is easy to set-up and use the
experimental frame. This paper presents an air defense simulation to show the
usage and speed up with a 16-node Hadoop cluster. |
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