Abstract
Meteorological satellite ground application system carries a large number of applications. These applications deal with a variety of tasks. In order to classify these applications according to the resource consumption and improve the rational allocation of system resources, this paper introduces several application analysis algorithms. Firstly, the requirements are abstractly described, and then analyzed by hierarchical clustering algorithm. Finally, the benchmark analysis of resource consumption is given. Through the benchmark analysis of resource consumption, we will give a more accurate meteorological satellite ground application system.
Highlights
Meteorological satellite application system is large and complex
Meteorological satellite ground application system carries a large number of applications
In order to classify these applications according to the resource consumption and improve the rational allocation of system resources, this paper introduces several application analysis algorithms
Summary
Meteorological satellite application system is large and complex. Different types of applications need different resources. Accurate classification of meteorological satellite ground application systems will play a vital role in optimizing the resources of the entire system. How to classify these applications has become a more critical issue. [3] proposed a feature-based classification of software model. F. [8] proposed a software defect classification using Fuzzy Association Rule Mining (FARM) based on complexity metrics. Not all complexity metrics affect on software defect, it requires metrics selection process using Correlation-based Feature Selection (CFS) so it can increase the classification performance. Improve the classification accuracy of meteorological satellite ground application system
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