A New Middleware for Distributed Data Processing in CUBRID DBMS

被引：1

作者：

Kim, Hyeong-Il ^{[1
]}

Yoon, Min ^{[1
]}

Choi, MunChul ^{[1
]}

Chang, Jae-Woo ^{[1
]}

机构：

[1] Chonbuk Natl Univ, Jeonju 561756, South Korea

来源：

6TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2015), THE 5TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2015) | 2015年 / 52卷

关键词：

Middleware; distributed environment; parallel query processing; CUBRID;

D O I：

10.1016/j.procs.2015.05.066

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With 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. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (fthp://crealivecommons.orgilicenses/by-nc-nd/4.0/). Peer-review under responsibility of the Conference Program Chairs

引用

页码：654 / 658

页数：5

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