Abstract : The paper relates to multi-resource sharing between flows with heterogeneous requirements as arises in networks with wireless links or software routers implementing network function virtualization. Bottleneck max fairness (BMF) is a sharing objective in this context with good performance. The paper shows that BMF results when local fairness is imposed at each resource while flow rates are controlled by an end-to-end window. We analytically prove convergence to BMF under a fluid model when flows share a network limited to 2 resources while numerical results confirm BMF convergence for larger networks. Simulation results illustrate the impact of packetized transmission.
Type de document :
Communication dans un congrès
IEEE INFOCOM, 2017, Atlanta, United States. Proceedings of IEEE INFOCOM
https://hal.archives-ouvertes.fr/hal-01552739
Contributeur : Thomas Bonald <>
Soumis le : lundi 3 juillet 2017 - 10:52:29
Dernière modification le : jeudi 6 juillet 2017 - 01:10:24
Thomas Bonald, James Roberts, Christian Vitale. Convergence to multi-resource fairness under end-to-end window control. IEEE INFOCOM, 2017, Atlanta, United States. Proceedings of IEEE INFOCOM. <hal-01552739>
