ITM Web Conf.
Volume 17, 20184th Annual International Conference on Wireless Communication and Sensor Network (WCSN 2017)
|Number of page(s)||6|
|Section||Session 3: Smart City in Resource Management, Ecological and Environmental Data Processing|
|Published online||02 February 2018|
Research on Monte Carlo application based on Hadoop
School of Mechanical, Electrical & Information Engineering, Shan Dong University, Weihai; School of Rong Cheng, Harbin University of Science and Technology, Wei Hai, China
2 School of Mechanical, Electrical & Information Engineering, Shan Dong University, Wei Hai, China
* Jingchang Pan: email@example.com
Monte Carlo method is also known as random simulation method. The more the number of experiments, the more accurate the results obtained. Therefore, a large number of random simulation is required in order to obtain a higher degree of accuracy, but the traditional stand-alone algorithm has been difficult to meet the needs of a large number of simulation. Hadoop platform is a distributed computing platform built on a large data background and an open source software under Apache. It is easier to write and run applications for processing massive amounts of data as an open source software platform. Therefore, this paper takes π value calculation as an example to realize the Monte Carlo algorithm based on Hadoop platform, and get the exact π value with the advantage of Hadoop platform in distributed processing.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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