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Comparative Analysis of NoSQL Database’s Activities and Scalability Investigation With Library Introspection

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2020, 25(9), pp.1-9
  • DOI : 10.9708/jksci.2020.25.09.001
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 3, 2020
  • Accepted : August 31, 2020
  • Published : September 29, 2020

ChangHo Seo 1,  Byungchul Tak 1

1경북대학교

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ABSTRACT

In this paper, we propose a method of in-depth analysis of internal operation process by recording library calls and related information that occur in the operation process of NoSQL database. It observes and records the specified library calls, compares the internal behavior differences between the NoSQL databases through recorded library call information, and evaluates the characteristics and scalability of each database by observing changes in the number of input data. The development of computing performance and the activation of big data have led to the emergence of different types of NoSQL databases for recording and analyzing various and large amounts of data, and it is necessary to evaluate the scalability of each database in order to select a database suitable for each environment. However, it is difficult to analyze or predict how a database operates in traditional ways, such as benchmarking, observing external behavior through performance models, or analyzing structural features based on design. Therefore, it is necessary to utilize the techniques proposed in this paper to understand the scalability of NoSQL databases with high accuracy.

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This paper was written with support from the National Research Foundation of Korea.
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