Abstract
Due to the shortages of NoSQL, studies on RDBMS based bigdata processing have been actively performed. Although they can store data in the distributed servers by dividing the database, they cannot process a query when data of a user is distributed on the multiple servers. Therefore, in this paper we propose a CUBRID based middleware supporting distributed parallel query processing. Through the performance evaluations, we show that our proposed scheme outperforms the existing work in terms of query processing time.
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References
Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Communications of the ACM 51(1), 107–113 (2008)
Rabl, T., Sadoghi, M., Jacobsen, H.: Solving Big Data Challenges for Enterprise Application Performance Management. VLDB Endowment 5(12), 1724–1735 (2012)
Apache Software Foundation, Apache Hadoop, http://hadoop.apache.org
Chodorow, K.: MongoDB: the definitive guide. O’Reilly Media Inc. (2013)
Dietrich, A., Mohammad, S., Zug, S., Kaiser, J.: ROS meets Cassandra: Data Management in Smart Environments with NoSQL. In: 11th International Baltic Conference (2014)
Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The Hadoop Distributed File System. In: 26th IEEE Symposium on Mass Storage Systems and Technologies (MSST), NV (2010)
Han, J., Haihong, E., Guan, L.: Survey on NoSQL Database. In: 6th IEEE International Conference on Pervasive Computing and Applications, Port Elizabeth, pp. 363–366 (2011)
CUBRID Shard, http://www.cubrid.org/manual/91/en/shard.html
CUBRID, http://www.cubrid.com
DeWitt, D.J.: The Wisconsin Benchmark: Past, Present, and Future. In: Database and Transaction Processing System Performance Handbook (1993)
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Kim, HI., Yoon, M., Shin, Y., Chang, JW. (2015). A Middleware Supporting Query Processing on Distributed CUBRID. In: Park, J., Chao, HC., Arabnia, H., Yen, N. (eds) Advanced Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47487-7_5
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DOI: https://doi.org/10.1007/978-3-662-47487-7_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-47486-0
Online ISBN: 978-3-662-47487-7
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