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http://dx.doi.org/10.9728/dcs.2014.15.4.533

A Quality Evaluation Model for Distributed Processing Systems of Big Data  

Choi, Seung-Jun (숭실대학교 SW특성화대학원)
Park, Jea-Won (숭실대학교 SW특성화대학원)
Kim, Jong-Bae (숭실대학교 SW특성화대학원)
Choi, Jae-Hyun (숭실대학교 SW특성화대학원)
Publication Information
Journal of Digital Contents Society / v.15, no.4, 2014 , pp. 533-545 More about this Journal
Abstract
According to the evolving of IT technologies, the amount of data we are facing increasing exponentially. Thus, the technique for managing and analyzing these vast data that has emerged is a distributed processing system of big data. A quality evaluation for the existing distributed processing systems has been proceeded by the structured data environment. Thus, if we apply this to the evaluation of distributed processing systems of big data which has to focus on the analysis of the unstructured data, a precise quality assessment cannot be made. Therefore, a study of the quality evaluation model for the distributed processing systems is needed, which considers the environment of the analysis of big data. In this paper, we propose a new quality evaluation model by deriving the quality evaluation elements based on the ISO/IEC9126 which is the international standard on software quality, and defining metrics for validating the elements.
Keywords
Distributed Processing Systems; Big Data; Quality Evaluation Model; ISO/IEC9126;
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Times Cited By KSCI : 1  (Citation Analysis)
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