Performance comparison of CRUD operations in IoT based big data computing

Citations

SCOPUS

7

초록

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.

키워드

Big data; MongoDB; MySQL; NoSQL; Performance calculation; RDBMS
제목
Performance comparison of CRUD operations in IoT based big data computing
저자
Seo, Jung Yeon; Lee, Dae Won; Lee, Hwa Min
DOI
10.18517/ijaseit.7.5.2674
발행일
2017-10
유형
Article
저널명
International Journal on Advanced Science, Engineering and Information Technology
권
7
호
5
페이지
1765 ~ 1770