2020
Digital Bifurcation Analysis of Internet Congestion Control Protocols
BENEŠ, Nikola, Luboš BRIM, Samuel PASTVA a David ŠAFRÁNEKZákladní údaje
Originální název
Digital Bifurcation Analysis of Internet Congestion Control Protocols
Autoři
BENEŠ, Nikola (203 Česká republika, domácí), Luboš BRIM (203 Česká republika, garant, domácí), Samuel PASTVA (703 Slovensko, domácí) a David ŠAFRÁNEK (203 Česká republika, domácí)
Vydání
International Journal of Bifurcation and Chaos, 2020, 0218-1274
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Singapur
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.836
Kód RIV
RIV/00216224:14330/20:00114358
Organizační jednotka
Fakulta informatiky
UT WoS
000587712500003
Klíčová slova anglicky
Congestion control; nonlinear phenomenon; attractor; bifurcation; stability
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 29. 4. 2021 08:08, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
Digital bifurcation analysis is a new algorithmic method for exploring how the behavior of a parameter-dependent discrete system varies with a change in its parameters and, in particular, for the identification of bifurcation points where such variation becomes dramatic. We have developed the method in an analogy with the traditional bifurcation theory and have successfully applied it to models taken from systems biology. In this paper, we report on the application of the digital bifurcation analysis for analyzing the stability of internet congestion control protocols by inspecting their attractor bifurcations. In contrast to the analytical methods, our approach allows fully automated analysis. We compared the robustness of the basic Random Early Drop (RED) approach with four substantially different extensions, namely gentle, adaptive, gradient descent, and integral feedback RED. The basic RED protocol is well known to exhibit unstable behavior when parameters are varied. In the case of adaptive and gradient descent RED protocol, the analysis showed significant improvements in stability, whereas in the results for gentle and integral feedback RED protocols the improvement was negligible. We performed a series of model simulations, the results of which were in accordance with our bifurcation analysis. Based on our results, we can recommend both adaptive and gradient descent RED to improve the robustness of the RED protocol.
Návaznosti
GA18-00178S, projekt VaV |
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MUNI/A/1050/2019, interní kód MU |
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