scholarly journals Don’t Just Go with the Flow: Cautionary Tales of Fluid Flow Approximation

Author(s):  
Alireza Pourranjbar ◽  
Jane Hillston ◽  
Luca Bortolussi
10.29007/7cgj ◽  
2018 ◽  
Author(s):  
Andrea Bracciali ◽  
Jane Hillston ◽  
Diego Latella ◽  
Mieke Massink

We propose an approach to the quantitative modelling of crowd dy- namics, viz. the behaviour of systems of large numbers of mobile agents. The approach relies on a stochastic process algebra as specification lan- guage (BioPEPA), and combines stochastic simulation techniques and continuous fluid flow approximation. The approach encompasses the agent modelling viewpoint, as system behaviour emerges from the specified agent interaction, and the population modelling viewpoint, when continu- ous analysis is used. The result is expressive, as we will show by discussing a few examples, and efficient, by the adoption of the fluid flow analysis techniques, which approximate system dynamics as continuous variations of population.


2014 ◽  
Vol 62 (2) ◽  
pp. 217-225 ◽  
Author(s):  
J. Domańska ◽  
A. Domański ◽  
T. Czachórski ◽  
J. Klamka

Abstract This article presents the use of fluid flow approximation to model interactions between a set of TCP, UDP and XCP flows in the environment of IP routers using AQM (Active Queue Management) algorithms to control traffic congestion. In contrast to other works, independent UDP and TCP streams are considered and the model allows to start and end data transmissions in TCP, UDP and XCP streams at any time moment. It incorporates several Active Queue Management mechanisms: RED, NLRED, CHOKe.


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