Benchmark Testing for Transwarp Inceptor—A big data analysis system based on in-memory computing

DOI

10.2991/nceece-15.2016.57How to use a DOI?

Keywords

Benchmark testing; Transwarp Inceptor; Big data

Abstract

The high demand for data analysis and rapid development of big data technology and application has led to a variety of commercial and open source big data processing systems launched by industry and academia. So how to test and evaluate these systems objectively has become an important research topic. In this paper, we propose and develop an automated benchmark testing solution based on TPC-DS for Transwarp Inceptor, a big data analysis system. Test includes generating and loading a 500 GB data set and creating 24 tables and testing the performance of the system and SQL compatibility by executing 99 standard SQL queries. The test results can provide reference for enterprises to compare and choose big data analysis systems.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chen Mingang
AU  - Liu Zhenqiang
AU  - Liu Wanggen
PY  - 2015/12
DA  - 2015/12
TI  - Benchmark Testing for Transwarp Inceptor—A big data analysis system based on in-memory computing
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 279
EP  - 283
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.57
DO  - 10.2991/nceece-15.2016.57
ID  - Mingang2015/12
ER  -