Year
Month
(Conference Paper) Clean: Minimize Switch Queue Length via Transparent ECN-proxy in Campus Networks
Xiaojie Huang 黄晓洁 ¹, Jiaqing Dong ¹, Wenzheng Yang 杨文正 ¹, Chen Tian 田臣 ¹, Jun Zhou ², Yi Kai ², Mingjie Cai ², Nai Xia 夏耐 ¹, Wanchun Dou 窦万春 ¹, Guihai Chen 陈贵海 ¹
¹ State Key Laboratory for Novel Software Technology, Nanjing University, China
中国 南京大学 计算机软件新技术国家重点实验室
² Huawei, China
中国 华为
2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 2021-08-26
Abstract

Campus networks are widely deployed for organizations like universities and large companies. Applications and network-based services require campus networks to guarantee short queue and provide low latency and large bandwidth. However, the widely adopted packet-loss-based congestion control mechanism in client hosts builds up long queues in the switch buffer, which is prone to packet loss in burst scenarios, resulting in great network delay. Therefore, a scheme for efficiently controlling queue length of shallow buffer switches in campus networks is urgently needed. Explicit Congestion Notification(ECN) as an explicit feedback mechanism is widely adopted in data center networks to build lossless networks.

In this paper, we propose Clean, an efficient queue length control scheme based on transparent ECN-proxy for campus networks. Clean is able to exert fine-grained control over arbitrary client TCP stacks by enforcing per-flow congestion control in the access point(AP). It allows the campus network switches to maintain a low queue length, resulting in high throughput, low latency and zero packet loss. Evaluation results demonstrate that Clean reduces the maximum queue length of the switch by 86% and reduces the 99th percentile latency by 85%. Clean also achieves zero packet loss in burst scenarios.
Clean: Minimize Switch Queue Length via Transparent ECN-proxy in Campus Networks_1
Clean: Minimize Switch Queue Length via Transparent ECN-proxy in Campus Networks_2
Clean: Minimize Switch Queue Length via Transparent ECN-proxy in Campus Networks_3
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