Abstract
Different kinds of models are used to study various natural and technical phenomena. Usually, the researcher is limited to using a certain kind of model approach, not using others (or even not realizing the existence of other model approaches). The authors believe that a complete study of a certain phenomenon should cover several model approaches. The paper describes several model approaches which we used in the study of the random early detection algorithm for active queue management. Both the model approaches themselves and their implementation and the results obtained are described.
The publication has been prepared with the support of the “RUDN University Program 5-100” and funded by Russian Foundation for Basic Research (RFBR) according to the research project No 19-01-00645.
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Notes
- 1.
Note that this type of model is known to many researchers. When only one modeling variable is involved, the process of building the surrogate model is called curve fitting.
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Korolkova, A.V., Kulyabov, D.S., Hnatič, M. (2020). Practical Application of the Multi-model Approach in the Study of Complex Systems. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds) Distributed Computer and Communication Networks. DCCN 2020. Lecture Notes in Computer Science(), vol 12563. Springer, Cham. https://doi.org/10.1007/978-3-030-66471-8_40
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