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Convergence to multi-resource fairness under end-to-end window control
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.
Cited literature [16 references]
https://hal.archives-ouvertes.fr/hal-01552739
Contributor : Thomas Bonald Connect in order to contact the contributor
Submitted on : Monday, July 3, 2017 - 10:52:29 AM
Last modification on : Monday, December 14, 2020 - 9:46:53 AM
Long-term archiving on: : Friday, December 15, 2017 - 12:02:52 AM
Contributor : Thomas Bonald Connect in order to contact the contributor
Submitted on : Monday, July 3, 2017 - 10:52:29 AM
Last modification on : Monday, December 14, 2020 - 9:46:53 AM
Long-term archiving on: : Friday, December 15, 2017 - 12:02:52 AM
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BRV17.pdf
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