Performance comparison of CRUD operations in IoT based big data computing

Jung Yeon Seo; Dae Won Lee; Hwa Min Lee

doi:10.18517/ijaseit.7.5.2674

Performance comparison of CRUD operations in IoT based big data computing

Jung Yeon Seo
, Dae Won Lee
, Hwa Min Lee

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

Nowadays, due to the development of mobile devices, the kinds of data that are generated are becoming diverse, and the amount is becoming huge. The vast amount of data generated in this way is called big data. Big data must be processed in a different way than existing data processing methods. Representative methods of big data processing are RDBMS (Relational Database System) and NoSQL method. We compare NoSQL and RDBMS, which are representative database systems. In this paper, we use MySQL query and MongoDB query to compare RDBMS and NoSQL. We gradually compare the performance of CRUD operations in MySQL and MongoDB by increasing the amount of data. MongoDB sets index and compares it again. Through result of these operations is to choose a database system that fits the situation. This makes it possible to design and analyse big data more efficiently.

Original language	English
Pages (from-to)	1765-1770
Number of pages	6
Journal	International Journal on Advanced Science, Engineering and Information Technology
Volume	7
Issue number	5
DOIs	https://doi.org/10.18517/ijaseit.7.5.2674
Publication status	Published - 2017
Externally published	Yes

Keywords

Big data
MongoDB
MySQL
NoSQL
Performance calculation
RDBMS

ASJC Scopus subject areas

General Computer Science
General Agricultural and Biological Sciences
General Engineering

Access to Document

10.18517/ijaseit.7.5.2674

Cite this

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abstract = "Nowadays, due to the development of mobile devices, the kinds of data that are generated are becoming diverse, and the amount is becoming huge. The vast amount of data generated in this way is called big data. Big data must be processed in a different way than existing data processing methods. Representative methods of big data processing are RDBMS (Relational Database System) and NoSQL method. We compare NoSQL and RDBMS, which are representative database systems. In this paper, we use MySQL query and MongoDB query to compare RDBMS and NoSQL. We gradually compare the performance of CRUD operations in MySQL and MongoDB by increasing the amount of data. MongoDB sets index and compares it again. Through result of these operations is to choose a database system that fits the situation. This makes it possible to design and analyse big data more efficiently.",

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AU - Seo, Jung Yeon

AU - Lee, Dae Won

AU - Lee, Hwa Min

PY - 2017

Y1 - 2017

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AB - Nowadays, due to the development of mobile devices, the kinds of data that are generated are becoming diverse, and the amount is becoming huge. The vast amount of data generated in this way is called big data. Big data must be processed in a different way than existing data processing methods. Representative methods of big data processing are RDBMS (Relational Database System) and NoSQL method. We compare NoSQL and RDBMS, which are representative database systems. In this paper, we use MySQL query and MongoDB query to compare RDBMS and NoSQL. We gradually compare the performance of CRUD operations in MySQL and MongoDB by increasing the amount of data. MongoDB sets index and compares it again. Through result of these operations is to choose a database system that fits the situation. This makes it possible to design and analyse big data more efficiently.

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KW - Performance calculation

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M3 - Article

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Performance comparison of CRUD operations in IoT based big data computing

Abstract

Keywords

ASJC Scopus subject areas

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