@inproceedings{goyal2022elasticity,
author = {Goyal, Prateesh and Narayan, Akshay and Cangialosi, Frank and Narayana, Srinivas and Alizadeh, Mohammad and Balakrishnan, Hari},
title = {Elasticity Detection: A Building Block for Internet Congestion Control},
booktitle = {ACM SIGCOMM},
year = {2022},
month = {September},
abstract = {This paper introduces a new metric, "elasticity," which characterizes the nature of cross-traffic competing with a flow. Elasticity captures whether the cross traffic reacts to changes in available bandwidth. We show that it is possible to robustly detect the elasticity of cross traffic at a sender without router support, and that elasticity detection can reduce delays in the Internet by enabling delay-controlling congestion control protocols to be deployed without hurting flow throughput. Our results show that the proposed method achieves more than 85% accuracy under a variety of network conditions, and that congestion control using elasticity detection achieves throughput comparable to Cubic but with delays that are 50--70 ms lower when cross traffic is inelastic.},
url = {http://approjects.co.za/?big=en-us/research/publication/elasticity-detection-a-building-block-for-internet-congestion-control-2/},
}