Development of a CUBRID-Based Distributed Parallel Query Processing System


Hyeong-Il Kim, HyeonSik Yang, Min Yoon, Jae-Woo Chang, Journal of Information Processing Systems
Vol. 13, No. 3, pp. 518-532, Jun. 2017
10.3745/JIPS.01.0016
Keywords: CUBRID, Distributed Parallel Environment, Query Processing
Fulltext:

Abstract

Due to the rapid growth of the amount of data, research on bigdata processing has been highlighted. For bigdata processing, CUBRID Shard is able to support query processing in parallel way by dividing the database into a number of CUBRID servers. However, CUBRID Shard can answer a user’s query only when the query is required to gain accesses to a single CUBRID server, instead of multiple ones. To solve the problem, in this paper we propose a CUBRID based distributed parallel query processing system that can answer a user’s query in parallel and distributed manner. Finally, through the performance evaluation, we show that our proposed system provides 2–3 times better performance on query processing time than the existing CUBRID Shard


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Cite this article
[APA Style]
Hyeong-Il Kim, HyeonSik Yang, Min Yoon, & Jae-Woo Chang (2017). Development of a CUBRID-Based Distributed Parallel Query Processing System. Journal of Information Processing Systems, 13(3), 518-532. DOI: 10.3745/JIPS.01.0016.

[IEEE Style]
H. Kim, H. Yang, M. Yoon and J. Chang, "Development of a CUBRID-Based Distributed Parallel Query Processing System," Journal of Information Processing Systems, vol. 13, no. 3, pp. 518-532, 2017. DOI: 10.3745/JIPS.01.0016.

[ACM Style]
Hyeong-Il Kim, HyeonSik Yang, Min Yoon, and Jae-Woo Chang. 2017. Development of a CUBRID-Based Distributed Parallel Query Processing System. Journal of Information Processing Systems, 13, 3, (2017), 518-532. DOI: 10.3745/JIPS.01.0016.