Beyond Jain's Fairness Index: Setting the Bar For The Deployment of Congestion Control Algorithms
Beyond Jain's Fairness Index: Setting the Bar For The Deployment of Congestion Control Algorithms
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DOI：
10.1145/3365609.3365855
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发表时间：
2019-11
期刊：
影响因子：
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通讯作者：
Ranysha Ware;Matthew K. Mukerjee;S. Seshan;Justine Sherry
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文献类型：
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作者：
Ranysha Ware;Matthew K. Mukerjee;S. Seshan;Justine Sherry
互联网社区面临着新的拥塞控制算法的爆炸，如Copa，Sunday，PCC和BBR。在本文中，我们将讨论在互联网上部署新算法的考虑因素。虽然过去的努力集中在实现新算法和部署算法之间的“公平性”或“友好性”，但我们提倡一种以量化和限制新算法对现状造成的伤害为中心的方法。我们认为，基于伤害的方法是更实际的，更未来的证据，并处理更广泛的质量指标比传统的公平和友好的概念。
The Internet community faces an explosion in new congestion control algorithms such as Copa, Sprout, PCC, and BBR. In this paper, we discuss considerations for deploying new algorithms on the Internet. While past efforts have focused on achieving 'fairness'or 'friendliness' between new algorithms and deployed algorithms, we instead advocate for an approach centered on quantifying and limiting harm caused by the new algorithm on the status quo. We argue that a harm-based approach is more practical, more future proof, and handles a wider range of quality metrics than traditional notions of fairness and friendliness.