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http://dx.doi.org/10.14400/JDC.2015.13.9.235

Big Data Management Scheme using Property Information based on Cluster Group in adopt to Hadoop Environment  

Han, Kun-Hee (Dept. of Information Communication & Engineeringe, Baeseok University)
Jeong, Yoon-Su (Dept. of Information Communication & Engineeringe, Mokwon University)
Publication Information
Journal of Digital Convergence / v.13, no.9, 2015 , pp. 235-242 More about this Journal
Abstract
Social network technology has been increasing interest in the big data service and development. However, the data stored in the distributed server and not on the central server technology is easy enough to find and extract. In this paper, we propose a big data management techniques to minimize the processing time of information you want from the content server and the management server that provides big data services. The proposed method is to link the in-group data, classified data and groups according to the type, feature, characteristic of big data and the attribute information applied to a hash chain. Further, the data generated to extract the stored data in the distributed server to record time for improving the data index information processing speed of the data classification of the multi-attribute information imparted to the data. As experimental result, The average seek time of the data through the number of cluster groups was increased an average of 14.6% and the data processing time through the number of keywords was reduced an average of 13%.
Keywords
Big Data; Hadoop Environment; Multi Attribute; Data Management; Data Index Information;
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