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An Empirical View on Content Provider Fairness

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arxiv 1905.07152 v1 pith:G2MAM7PT submitted 2019-05-17 cs.NI

classification cs.NI
keywords congestioncontentcontrolfairnessprovidersalgorithmsbandwidthdifferent
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Congestion control is an indispensable component of transport protocols to prevent congestion collapse. As such, it distributes the available bandwidth among all competing flows, ideally in a fair manner. However, there exists a constantly evolving set of congestion control algorithms, each addressing different performance needs and providing the potential for custom parametrizations. In particular, content providers such as CDNs are known to tune TCP stacks for performance gains. In this paper, we thus empirically investigate if current Internet traffic generated by content providers still adheres to the conventional understanding of fairness. Our study compares fairness properties of testbed hosts to actual traffic of six major content providers subject to different bandwidths, RTTs, queue sizes, and queueing disciplines in a home-user setting. We find that some employed congestion control algorithms lead to significantly asymmetric bandwidth shares, however, AQMs such as FQ_CoDel are able to alleviate such unfairness.

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  1. ConfigTron: Tackling network diversity with heterogeneous configurations

    cs.NI 2019-08 conditional novelty 6.0 of 10

    ConfigTron uses a contextual multi-armed bandit to learn per-network-class TCP and HTTP configurations online, cutting median page load time by up to 19% in simulation and 8-10% in a live deployment.

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