@inproceedings{b96b74ca235a4e11853b9ded13dbba63,
title = "MapReduce based experimental frame for parallel and distributed simulation using hadoop platform",
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. Proceedings 28th European Conference on Modelling and Simulation",
keywords = "Experimental frame, Hadoop, MapReduce, Parallel and distributed simulation, System analysis",
author = "Kim, {Byeong Soo} and Lee, {Sun Ju} and Kim, {Tag Gon} and Song, {Hae Sang}",
year = "2014",
doi = "10.7148/2014-0664",
language = "English",
isbn = "9780956494481",
series = "Proceedings - 28th European Conference on Modelling and Simulation, ECMS 2014",
publisher = "European Council for Modelling and Simulation",
pages = "664--669",
booktitle = "Proceedings - 28th European Conference on Modelling and Simulation, ECMS 2014",
note = "28th European Conference on Modelling and Simulation, ECMS 2014 ; Conference date: 27-05-2014 Through 30-05-2014",
}