The design methodology of congestion control algorithms (CCAs) has shifted from control-based to measurement-based in recent years. However, we find that measurement-based CCAs, although having better performance, are not robust enough in fluctuating network environments, which are increasingly common nowadays. In this paper, we propose PAD to make measurement-based CCAs as robust as control-based CCAs in fluctuating environments while enjoying the performance benefits in general. PAD identifies that the root cause is that measurement-based CCAs blindly rely on measurement results, which unfortunately can be inaccurate, and will transiently mislead the CCAs to misbehave. The preliminary design of PAD works as a shim layer between the socket and CCAs so as to scale to any measurement-based CCAs, which turns out to outperform most commonly used CCAs in fluctuating environments.
@article{arxiv.2308.03350,
title = {Robustifying Measurement-Based Congestion Control Algorithms},
author = {Zhu Yuxi and Meng Zili and Shen Yixin and Xu Mingwei and Wu Jianping},
journal= {arXiv preprint arXiv:2308.03350},
year = {2023}
}