Abstract

With the increasing variety of application software of meteorological satellite ground system, how to provide reasonable hardware resources and improve the efficiency of software 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. Firstly, principal component analysis (PCA) is used to reduce the dimension of software running feature data and to interpret software characteristic information. Then the modified K-means algorithm was used to classify the meteorological data processing software. Finally, it combined with the results of principal component analysis to explain the significance of various types of integrated software operating characteristics. And it is used as the basis for optimizing the allocation of software hardware resources and improving the efficiency of software operation.

Highlights

  • With the increase of meteorological satellite observation level and the rich variety of remote sensing products, meteorological satellite remote sensing products are more and more widely used

  • A set of software classification method based on software operating characteristics is proposed

  • The modified K-means algorithm was used to classify the meteorological data processing software. It combined with the results of principal component analysis to explain the significance of various types of integrated software operating characteristics

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Summary

Introduction

With the increase of meteorological satellite observation level and the rich variety of remote sensing products, meteorological satellite remote sensing products are more and more widely used. With the development of remote sensing instruments and the development of remote sensing technology, the ground meteorological software is constantly enriched and renewed In engineering construction, these prototyping softwares become an important component of Fengyun meteorological satellite ground application system after engineering. Fengyun meteorological satellite ground application system has a large number of data processing software, so classification of software resources and the use of the characteristics of its operation are the basis for carrying out evaluation work. Based on the results of PCA, the characteristics of each type of software are described, which provides basic data and basis for further work, such as software resource consumption rationality analysis, software operation rationality evaluation, optimization of hardware and software systems, and provides scientific decision data support for future hardware and software platform planning and configuration of new projects. The classification of software based on software operating characteristics, so as to further optimize the software hardware resource allocation and improve software operating efficiency

Software and Hardware Environment Overview
Maintaining the Integrity of the Specifications
Characterization of Operational Characteristics
Characteristic Data Normalization
Principal Component Analysis
Compute the Correlation Matrix from the Original Data Matrix
The Principal Component Is Extracted by Total Variance
Calculation of the Main Components of the Software
Typical K-Means Algorithm
Cluster Analysis Results
Clustering Analysis
Summary
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