The Application of Cloud Computing in Large-Scale Statistic

DOI

10.2991/ccis-13.2013.72How to use a DOI?

Keywords

statistical analysis;cloud computing;double-target genetic algorithm

Abstract

The main challenge in current statistical work is the huge pressure of the statistical analysis along with the huge amount and diversity of the statistical data. This paper established a framework model of large-scale data processing by bringing in cloud computing. By studying the resource allocation algorithm of cloud computing, we proposed an accelerating genetic algorithm of double-target fitness function which considered the safety of statistical data and the responding time of work, as well as analyzed the convergence speeds of the algorithm in various weights in order to test each target’s effect on iterations.

Copyright

© 2013, 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  - Xiuli SUN
AU  - Ying LI
AU  - Baofang HU
AU  - Hongfeng SUN
PY  - 2013/11
DA  - 2013/11
TI  - The Application of Cloud Computing in Large-Scale Statistic
BT  - Proceedings of the The 1st International Workshop on Cloud Computing and Information Security
PB  - Atlantis Press
SP  - 308
EP  - 311
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccis-13.2013.72
DO  - 10.2991/ccis-13.2013.72
ID  - SUN2013/11
ER  -