Practical application of the multi-model approach in the study of complex systems

TL;DR

This paper advocates for using multiple modeling approaches to study complex systems, demonstrating their application through the analysis of the random early detection algorithm in active queue management.

Contribution

It introduces a multi-model approach for studying complex phenomena and illustrates its effectiveness with a case study on network algorithms.

Findings

Multiple modeling approaches provide comprehensive insights.

Implementation of models yields consistent results.

Multi-model analysis enhances understanding of complex systems.

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.