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The Analysis Meteorological Satellite Software Based on Principal Component

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DOI: 10.23977/jeis.2016.11004 | Downloads: 38 | Views: 4830

Author(s)

Lizi Xie 1, Manyun Lin 1, Xiangang Zhao 1, Lan Wei 1, Cunqun Fan 1

Affiliation(s)

1 National Satellite Meteorological Centre, China Meteorological Administration, Beijing, China

Corresponding Author

Cunqun Fan

ABSTRACT

How to provide reasonable hardware resources and improve the efficiency of soft-ware is paid more and more attention. In this paper, a set of software classification method based on software operating characteristics is proposed. The method uses software run-time resource consumption to describe the software running characteristics. Principal component analysis (PCA) is used to reduce the dimension of software running feature data and to interpret software characteristic information. Simulation results show that the proposed method can optimize the allocation of software hardware resources and improve the efficiency of software operation.

KEYWORDS

meteorological satellite software; principal component; feature data.

CITE THIS PAPER

Manyun, L. , Xiangang, Z. , Cunqun, F. , Lizi, X. and Lan, W. (2016) The Analysis Meteorological Satellite Software Based on Principal Component. Journal of Electronics and Information Science (2016) 1: 17-21.

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