JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Development of a CUBRID-Based Distributed Parallel Query Processing System |
| 영문제목(English Title) |
Development of a CUBRID-Based Distributed Parallel Query Processing System |
| 저자(Author) |
Hyeong-Il Kim
HyeonSik Yang
Min Yoon
Jae-Woo Chang
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| 원문수록처(Citation) |
VOL 13 NO. 03 PP. 0518 ~ 0532 (2017. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English 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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| 키워드(Keyword) |
CUBRID
Distributed Parallel Environment
Query Processing
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| 파일첨부 |
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