Parallel Strategy for the Large-Scale Data Streams Processing
- Ya-Juan Yuan, Guo-Jie Ma
- Corresponding Author
- Ya-Juan Yuan
Available Online November 2016.
- https://doi.org/10.2991/ceis-16.2016.45How to use a DOI?
- graphics processing units; parallel strategy; power efficiency; power model
- 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.
- 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 SN - 2352-538X UR - https://doi.org/10.2991/ceis-16.2016.45 DO - https://doi.org/10.2991/ceis-16.2016.45 ID - Yuan2016/11 ER -