%0 Conference Proceedings
%T DCODE: A Distributed Column-Oriented Database Engine for Big Data Analytics
%+ Huawei Technologies Co., Ltd [Shenzhen]
%+ Huawei Technologies [Hangzhou]
%A Liu, Yanchen
%A Cao, Fang
%A Mortazavi, Masood
%A Chen, Mengmeng
%A Yan, Ning
%A Ku, Chi
%A Adnaik, Aniket
%A Morgan, Stephen
%A Shi, Guangyu
%A Wang, Yuhu
%A Fang, Fan
%Z Part 10: Big Data and Text Mining
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 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)
%C Daejon, South Korea
%Y Ismail Khalil
%Y Erich Neuhold
%Y A Min Tjoa
%Y Li Da Xu
%Y Ilsun You
%I Springer
%3 Information and Communication Technology
%V LNCS-9357
%P 289-299
%8 2015-10-04
%D 2015
%R 10.1007/978-3-319-24315-3_30
%K Distributed DBMS
%K Data processing
%K Query optimization
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 5
%Z TC 8
%Z WG 8.9
%2 https://inria.hal.science/hal-01466231/document
%2 https://inria.hal.science/hal-01466231/file/978-3-319-24315-3_30_Chapter.pdf
%L hal-01466231
%U https://inria.hal.science/hal-01466231
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-ICT-EURASIA
%~ IFIP-WG8-9
%~ IFIP-LNCS-9357
%~ IFIP-CONFENIS