Parallel Strategy for the Large-Scale Data Streams Processing

DOI

10.2991/ceis-16.2016.45How to use a DOI?

Keywords

graphics processing units; parallel strategy; power efficiency; power model

Abstract

Large-scale data streams processing is import to data processing application. So we need to investigate the parallel strategy for the Large-scale data streams processing. Here we propose two parallel strategies to handle data streams in real time, and consider the power efficiency as an important factor to the parallel strategies. We present a method to quantify the power efficiency for data streams during the computing. Finally, we compare the two parallel strategies on a large quantity of real stream data. The experiments prove the accuracy of analysis on power efficiency.

Copyright

© 2017, 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  - Ya-Juan Yuan
AU  - Guo-Jie Ma
PY  - 2016/11
DA  - 2016/11
TI  - Parallel Strategy for the Large-Scale Data Streams Processing
BT  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 232
EP  - 234
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.45
DO  - 10.2991/ceis-16.2016.45
ID  - Yuan2016/11
ER  -