Meet challenges of RTT Jitter, A Hybrid Internet Congestion Control Algorithm
Keywords: congestion control, RTT Jitter, imitation learning
TL;DR: A hybrid Internet congestion control algorithm to meet challenges of RTT Jitter
Abstract: Congestion control has been a fundamental research focus in web transmission for over 30 years. However, with diverse network scenarios like cellular networks and WiFi, traditional models might no longer accurately describe current network conditions -- we empirically observe that the minimum round-trip time ($RTT_{min}$) still varies under different network conditions, challenging the assumption of its constancy in traditional models. In this paper, we model it as a normal distribution based on our measurements and propose a novel congestion control algorithm Lingbo. Lingbo consists of two phases: an offline trained decision model to achieve goals under different $RTT_{min}$ distributions, and an online perception scheme to detect the current $RTT_{min}$ distribution. We evaluate Lingbo in various network environments and find it consistently performs well in terms of power metric and throughput compared to recent state-of-the-art baselines.
Track: Systems and Infrastructure for Web, Mobile, and WoT
Submission Guidelines Scope: Yes
Submission Guidelines Blind: Yes
Submission Guidelines Format: Yes
Submission Guidelines Limit: Yes
Submission Guidelines Authorship: Yes
Student Author: Yes
Submission Number: 145
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