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Optimization and Performance Analysis of Cloud Computing Platform for Distributed Processing of Big Data  

Hong, Seung-Tae (전북대학교 전자정보공학부)
Shin, Young-Sung (전북대학교 전자정보공학부)
Chang, Jae-Woo (전북대학교 전자정보공학부)
Publication Information
Spatial Information Research / v.19, no.4, 2011 , pp. 55-71 More about this Journal
Abstract
Recently, interest in cloud computing which provides IT resources as service form in IT field is increasing. As a result, much research has been done on the distributed data processing that store and manage a large amount of data in many servers. Meanwhile, in order to effectively utilize the spatial data which is rapidly increasing day by day with the growth of GIS technology, distributed processing of spatial data using cloud computing is essential. Therefore, in this paper, we review the representative distributed data processing techniques and we analyze the optimization requirements for performance improvement of the distributed processing techniques for a large amount of data. In addition, we uses the Hadoop and we evaluate the performance of the distributed data processing techniques for their optimization requirements.
Keywords
Cloud Computing; Big Data; Distributed Processing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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