Lin M., Zhao X., Zi X., Guo P., Fan C. —
Classification of Meteorological Satellite Ground System Applications
// Space Research.
– 2018. – ¹ 1.
– P. 335 - 341.
DOI: 10.7256/2453-8817.2018.1.26055 URL: https://en. nbpublish.com/library_read_article.php?id=26055
Read the article
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.
Satellite, Ground Application System, Classification, Hierarchical Clustering, Software Model Verification, Application Parameters, Memory-loading, CPU-loading, IO-loading, Network-loading
Thüm, T., Apel, S., Schaefer, I., et al. (2014) A Classification and Survey of Analysis Strategies for Software Product Lines. ACM Computing Surveys, 47, 1-45. URL: https://doi.org/10.1145/2580950
Gómez, O.S., Juristo, N. and Vegas, S. (2014) Understanding Replication of Experiments in Software Engineering: A Classification. Information & Software Technology, 56, 1033-1048. URL: https://doi.org/10.1016/j.infsof.2014.04.004
Gabmeyer, S., Kaufmann, P. and Seidl, M. (2013) A Classification of Model Checking-Based Verification Approaches for Software Models. Proceedings of the STAF Workshop on Verification of Model Transformations (VOLT 2013), Budapest, 17 June 2013, 1-7.
Srinivas, C., Radhakrishna, V. and Rao, C.V.G. (2014) Clustering and Classification of Software Component for Efficient Component Retrieval and Building Component Reuse Libraries. Procedia Computer Science, 31, 1044-1050. URL: https://doi.org/10.1016/j.procs.2014.05.358
Rashwan, A. and Ormandjieva, O. (2013) Ontology-Based