A New Middleware for Distributed Data Processing in CUBRID DBMS
2015; Elsevier BV; Volume: 52; Linguagem: Inglês
10.1016/j.procs.2015.05.066
ISSN1877-0509
AutoresHyeong‐Il Kim, Min Yoon, Mun-Chul Choi, Jae‐Woo Chang,
Tópico(s)Advanced Database Systems and Queries
ResumoWith the sharply increasing amount of data, studies on bigdata processing based on NoSQL have been actively done. However, NoSQL cannot satisfy the ACID properties of database transactions. Therefore, bigdata processing based on RDBMS has been spotlighted. CUBRID Shard stores data in the distributed CUBRID servers by dividing the database. However, CUBRID Shard cannot process a query when data of a user is distributed on the multiple CUBRID servers. Therefore, in this paper we propose a CUBRID based middleware which supports distributed data processing. Through the performance evaluations, we show that our proposed scheme shows better performance than the existing work in terms of query processing time.
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