On unique ergodicity of coupled AIMD flows-Reference-Cited by-同舟云学术

On unique ergodicity of coupled AIMD flows

Published:2023-10-02 Issue: Volume: Page:1-11
ISSN:0020-7179
Container-title:International Journal of Control
language:en
Short-container-title:International Journal of Control

Author:

Ferraro Pietro¹,Yu Jia Yuan²,Ghosh Ramen³,Alam Syed Eqbal⁴,Marecek Jakub⁵,Wirth Fabian⁶,Shorten Robert¹

Affiliation:

1. Dyson School of Design Engineering, Imperial College London, London, UK

2. Amazon Research, New York, NY, USA

3. Department of Electrical Engineering, University College Dublin, Dublin, Ireland

4. J. Herbert Smith Centre for Technology Management and Entrepreneurship, University of New Brunswick, New Brunswick, Canada

5. The Czech University in Prague, Prague, Czech Republic

6. Department of Mathematics, University of Passau, Passau, Germany

Funder

Science Foundation Ireland

‘Research Center for Informatics’

European Union's Horizon Europe research and innovation programme

Horizon Europe Guarantee

UKRI

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207179.2023.2259016

Reference12 articles.

1. Alam S. E. Wirth F. Yu J. Y. & Shorten R. (2020). The convergence of finite-averaging of AIMD for distributed heterogeneous resource allocations. arXiv:2001.08083 [math.OC].

2. Invariant measures for Markov processes arising from iterated function systems with place-dependent probabilities;Barnsley M. F.;Annales de l'I.H.P. Probabilités et Statistiques,1988

3. Analysis of the increase and decrease algorithms for congestion avoidance in computer networks

4. Advances in Design and Control;Corless M.,2016

5. Crisostomi, E., Ghaddar, B., Häusler, F., Naoum-Sawaya, J., Russo, G., & Shorten, R. (2020). Analytics for the sharing economy: Mathematics, engineering and business perspectives. Springer Nature.