Abstract
This work is devoted to studying the possibilities of hybrid modeling of communication network algorithms in the Julia programming language. A simulation of the system, which consists of an incoming stream processed according to the Transmission Control Protocol (TCP) and a router processing traffic according to the Random Early Detection (RED) algorithm, is carried out. This model contains both continuous and discrete elements, for example, a discrete probability function of random packet dropping in the case of queue congestion.
Highlights
The hybrid approach can be used to simulate systems containing elements with both continuous and discrete functioning [1, 2]
A simulation of the system, which consists of an incoming stream processed according to the Transmission Control Protocol (TCP) and a router processing traffic according to the Random Early Detection (RED) algorithm, is carried out
Let us consider a model of the interaction between the process of data transmission via the Transmission Control Protocol (TCP) and the process of regulating the flow state when congestion occurs using the Random Early Detection (RED) algorithm [3]
Summary
The hybrid approach can be used to simulate systems containing elements with both continuous and discrete functioning [1, 2]. This work is devoted to studying the possibilities of hybrid modeling of communication network algorithms in the Julia programming language. A simulation of the system, which consists of an incoming stream processed according to the Transmission Control Protocol (TCP) and a router processing traffic according to the Random Early Detection (RED) algorithm, is carried out.
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