DCODE: A Distributed Column-Oriented Database Engine for Big Data Analytics

Abstract : We propose a novel Distributed Column-Oriented Database Engine (DCODE) for efficient analytic query processing that combines advantages of both column storage and parallel processing. In DCODE, we enhance an existing open-source columnar database engine by adding the capability for handling queries over a cluster. Specifically, we studied parallel query execution and optimization techniques such as horizontal partitioning, exchange operator allocation, query operator scheduling, operator push-down, and materialization strategies, etc. The experiments over the TPC-H dataset verified the effectiveness of our system.
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Communication dans un congrès
Ismail Khalil; Erich Neuhold; A Min Tjoa; Li Da Xu; Ilsun You. 3rd International Conference on Information and Communication Technology-EurAsia (ICT-EURASIA) and 9th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2015, Daejon, South Korea. Springer, Lecture Notes in Computer Science, LNCS-9357, pp.289-299, 2015, Information and Communication Technology. 〈10.1007/978-3-319-24315-3_30〉
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Yanchen Liu, Fang Cao, Masood Mortazavi, Mengmeng Chen, Ning Yan, et al.. DCODE: A Distributed Column-Oriented Database Engine for Big Data Analytics. Ismail Khalil; Erich Neuhold; A Min Tjoa; Li Da Xu; Ilsun You. 3rd International Conference on Information and Communication Technology-EurAsia (ICT-EURASIA) and 9th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2015, Daejon, South Korea. Springer, Lecture Notes in Computer Science, LNCS-9357, pp.289-299, 2015, Information and Communication Technology. 〈10.1007/978-3-319-24315-3_30〉. 〈hal-01466231〉

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