The Analysis Meteorological Satellite Software Based on Principal Component

نویسندگان

  • Manyun Lin
  • Xiangang Zhao
  • Cunqun Fan
  • Lizi Xie
  • Lan Wei
چکیده

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.

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تاریخ انتشار 2017