Cebinae: scalable in-network fairness augmentation
Cebinae: scalable in-network fairness augmentation
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Cebinae:可扩展的网络内公平性增强
DOI:
10.1145/3544216.3544240
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Liu, Vincent
中科院分区:
文献类型:
--
作者:
Yu, Liangcheng;Sonchack, John;Liu, Vincent
For public networks like the Internet and those of many clouds, end-host applications can use any congestion control protocol they wish. This protocol diversity and application autonomy are only increasing over time. While in-network support for fairness is an attractive solution for reigning in the inequity, existing solutions still have difficulty scaling to today's networks using today's devices. In this paper, we present Cebinae, a mechanism for augmenting existing networks of legacy hosts with penalties for flows that exceed their max-min fair share. Cebinae is compatible with all of the congestion control protocols in today's Internet, is deployable on commodity programmable switches, and scales orders of magnitude beyond existing alternatives.
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