Development of a CUBRID-Based Distributed Parallel Query Processing System
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
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.
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.
참고문헌 (20)
- 이다니엘, "Personalizing Information Using Users’ Online Social Networks: A Case Study of CiteULike", JIPS(Journal of Information Processing Systems), 11(1), pp.1~21 (2015), 한국정보처리학회[DOI]
- Jiaguo Lv, "Efficient Greedy Algorithms for Influence Maximization in Social Networks", JIPS(Journal of Information Processing Systems), 10(3), pp.471~482 (2014), 한국정보처리학회[DOI]
- D. Jiang, "epiC : an extensible and scalable system for processing big data", Proceedings of the VLDB Endowment, 7(7), pp.541~552 (2014)
- J. Dean, "MapReduce : simplified data processing on large clusters", Communications of the ACM, 51(1), pp.107~113 (2008)
- H. C. Yang, "Map-reduce-merge : simplified relational data processing on large clusters", Proceedings of the ACM SIGMOD International Conference on Management of Data, pp.1029~1040 (2007)
- T. Rabl, "Solving big data challenges for enterprise application performance management", Proceedings of the VLDB Endowment, 5(12), pp.1724~1735 (2012)
- "Apache Hadoop" (2014)[URL]
- K. Chodorow, "MongoDB: The Definitive Guide" (2013), O'Reilly Media Inc
- A. Dietrich, "ROS meets Cassandra : data management in smart environments with NoSQL", Proceedings of the 11th International Baltic Conference on DB and IS (2014)
- "CUBRID Shard"[URL]
- M. Stonebraker, "SQL databases v. NoSQL databases", Communications of the ACM, 53(4), pp.10~11 (2010)
- R. Cattell, "Scalable SQL and NoSQL data stores", ACM SIGMOD, 39(4), pp.12~27 (2011)
- J. Han, "Survey on NoSQL database", Proceedings of 2011 6th international conference on Pervasive computing and applications (ICPCA), pp.363~366 (2011)
- "CUBRID"[URL]
- V. Saravanan, "An optimizing pipeline stall reduction algorithm for power and performance on multi-core CPUs", Human-centric Computing and Information Sciences, 5(1) (2015)
- 이연, "Geohashed Spatial Index Method for a Location-Aware WBAN Data Monitoring System Based on NoSQL", JIPS(Journal of Information Processing Systems), 12(2), pp.263~274 (2016), 한국정보처리학회[DOI]
- M. Lee, "A convergence data model for medical information related to acute myocardial infarction", Human-centric Computing and Information Sciences, 6(1) (2016)
- H. I. Kim, "A new middleware for distributed data processing in CUBRID DBMS", Procedia Computer Science, 52, pp.654~658 (2015)
- A. Thusoo, "Hive : a warehousing solution over a map-reduce framework", Proceedings of the VLDB Endowment, 2(2), pp.1626~1629 (2009)
- D. J. DeWitt, "The Wisconsin benchmark: past, present, and future", pp.1993