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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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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