Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Parallel Strategy for the Large-Scale Data Streams Processing

Authors
Ya-Juan Yuan, Guo-Jie Ma
Corresponding Author
Ya-Juan Yuan
Available Online November 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
DOI
https://doi.org/10.2991/ceis-16.2016.45How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ceis-16.2016.45
DO  - https://doi.org/10.2991/ceis-16.2016.45
ID  - Yuan2016/11
ER  -