A large-scale analysis of deployed traffic differentiation practices
A large-scale analysis of deployed traffic differentiation practices
复制标题
DOI:
10.1145/3341302.3342092
复制
发表时间:
2019-08
期刊:
影响因子:
--
通讯作者:
Fangfan Li;Arian Akhavan Niaki;D. Choffnes;Phillipa Gill;A. Mislove
中科院分区:
文献类型:
--
作者:
Fangfan Li;Arian Akhavan Niaki;D. Choffnes;Phillipa Gill;A. Mislove
Net neutrality has been the subject of considerable public debate over the past decade. Despite the potential impact on content providers and users, there is currently a lack of tools or data for stakeholders to independently audit the net neutrality policies of network providers. In this work, we address this issue by conducting a one-year study of content-based traffic differentiation policies deployed in operational networks, using results from 1,045,413 crowdsourced measurements conducted by 126,249 users across 2,735 ISPs in 183 countries/regions. We develop and evaluate a methodology that combines individual per-device measurements to form high-confidence, statistically significant inferences of differentiation practices, including fixed-rate bandwidth limits (i.e., throttling) and delayed throttling practices. Using this approach, we identify differentiation in both cellular and WiFi networks, comprising 30 ISPs in 7 countries. We also investigate the impact of throttling practices on video streaming resolution for several popular video streaming providers.