Abstract
Meteorological satellite ground application system resources are limited. Abnormal satellite missions often lead to hopple of system resources. In order to analyze the problem, this paper presents an anomaly analysis method for meteorological satellite ground system based on resource bottleneck. Through the CPU, memory and I/O, several types of resources in-depth were analyzed to find the bottleneck caused by the problem, thus providing recommendations for application optimization. Experimental analysis shows that the proposed method can reasonably analyze the resource bottleneck of CPU, memory and I/O, and draw a good conclusion. To solve the meteorological satellite application system application anomaly caused by the bottleneck of the problem, the application of optimization to a certain extent plays a positive role.
Highlights
Meteorological satellite application system is large and complex
In order to analyze the problem, this paper presents an anomaly analysis method for meteorological satellite ground system based on resource bottleneck
This paper addresses the anomalies of meteorological satellite ground system applications due to bottlenecks in resources, optimizing system applications
Summary
Meteorological satellite application system is large and complex. Some applications need a lot of data, which often makes the ground system resources occur bottlenecks. How to study the anomalies of meteorological satellite ground system through the bottleneck of resources has become an urgent problem to be solved in satellite application system. [2] proposed a set of generic good practices to be observed during each phase of the software development life cycle (SDLC) for establishing the application system with sound exception handling mechanism. [4] proposed exception-based software metrics that are based on the structural attributes of exception handling call graphs. W. [6] proposed a run-based exception prediction algorithm to predict temporal exceptions in workflows. [7] proposed a practical approach to preserve the exception policy of a system or a family of systems along with its evolution, based on the definition and automatic checking of exception handling design rules. This paper addresses the anomalies of meteorological satellite ground system applications due to bottlenecks in resources, optimizing system applications
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