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Cloud Computing for Online Visualization of GIS Applications in Ubiquitous City

Authors:
Jong Won Park
Yong Woo Lee
Chang Ho Yun
Hyun Kyu Park
Seo Il Chang
Im Pyoung Lee
Hae Sun Jung

Keywords: cloud computing; the noise map; GIS; Hadoop; MapReduce; MPI

Abstract:
Cloud computing can be used to generate the 3D noise maps in ubiquitous cities. Here in this paper, we present our cloud computing approach, its performance and a performance comparison for it. The 3D image processing with GIS data requires great amount of computational resource because of complex and large amount of spatial information. The cloud computing can solve the problem with an easy and transparent way. We use Hadoop which is a framework that includes the HDFS (Hadoop Distributed File System) and MapReduce as cloud computing methodology to do massively parallel processing of 3D GIS data. We found the computing time is vastly reduced with a cluster of computing nodes. We also present the performance comparison when we use MPI instead of MapReduce and Hadoop.

Pages: 170 to 175

Copyright: Copyright (c) IARIA, 2010

Publication date: November 21, 2010

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-106-9

Location: Lisbon, Portugal

Dates: from November 21, 2010 to November 26, 2010