Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics

Research on Load Query of Grid Data Stream Based on Storm

Authors
Xudong Li, Hao Li, Airong Zhang, Dongdong Wang
Corresponding Author
Xudong Li
Available Online April 2015.
DOI
10.2991/ameii-15.2015.357How to use a DOI?
Keywords
Data Flow; Storm; Continuous query; Histogram.
Abstract

In recent years, with the development of data flow applications ,various fields required to respond data flow quickly and real-time. Using Storm frame to process data flow, the time of calculation can be shortened significantly. In this paper, Storm platform will be used for continuous queries of data flow. Firstly, this paper has a brief introduction for Storm framework and running process, then, it describes the model of continuous query, and then it introduces two generation algorithm of histogram, last, it experiments for continuous query on Storm cluster. The experimental results obtained are analysed to verify the validity of the data flow continuous query using Storm platform.

Copyright
© 2015, 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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Volume Title
Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/ameii-15.2015.357
ISSN
2352-5401
DOI
10.2991/ameii-15.2015.357How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Xudong Li
AU  - Hao Li
AU  - Airong Zhang
AU  - Dongdong Wang
PY  - 2015/04
DA  - 2015/04
TI  - Research on Load Query of Grid Data Stream Based on Storm
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1924
EP  - 1929
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.357
DO  - 10.2991/ameii-15.2015.357
ID  - Li2015/04
ER  -