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
  • Halide perovskite-based metasurfaces: structure design, performance regulation, and optoelectronic applications
  • Junxue Liu, Ying Su, Zibo Gao, Yinghan Li, Jingyuan Jia, Dequn Zhang, Yijing Mao, Tun Cao
  • Opto-Electronic Manufacturing
  • 2026-09-25
  • Electrically switchable bright-field and interference-synthesized edge-enhanced imaging with a polarization-multiplexed metalens
  • Xiaotong Li, Junhwa Seong, Yeseul Kim, Kwang-Suk Oh, Shiqi Hu, Le Dai, Harit Keawmuang, Beomha Yang, Minseok Choi, Youngsun Jeon, Cherry Park, Weiyan Li, Tianxu Jia, Han Zhu, Xiaodong Cai, Qi Zheng, Jinhui Shi, Young-Ki Kim, Yuchuan Shao, Trevon Badloe, Junsuk Rho
  • Opto-Electronic Science
  • 2026-09-20
  • Multiphysics optimization framework for high-power fiber amplifiers
  • Wei Liu, Zan Cheng, Pengfei Ma, Yisha Chen, Huan Yang, Zhiyong Pan, Zefeng Wang, Jinbao Chen
  • Opto-Electronic Science
  • 2026-09-20
  • 3D-printed copper water cooling system assisted fabrication of 10.6-μm high-power CO₂ laser resistance reflectors
  • Hongfei Jiao, Binbin Jiang, Xinshang Niu, Yifan Wang, Dongdong Li, Jun Yu, Xiaochuan Ji, Jingjing Xia, Jinlong Zhang, Xinbin Cheng, Zhanshan Wang
  • Opto-Electronic Advances
  • 2026-09-15
  • Pixel-controlled programmable metasurface as phase-type spatial terahertz modulator
  • Guibin Li, Guanyi Li, Zehao He, Xinke Wang, Peter J. Klar, He Ma, Yan Zhang
  • Opto-Electronic Advances
  • 2026-09-15
  • Spatiotemporal beam stirring in a multicore fiber
  • Alena Y. Kolesnikova, Mikhail D. Gervaziev, Nikita V. Bochkarev, Denis S. Kharenko, Evgeniy V. Podivilov, Sergey A. Babin
  • Opto-Electronic Advances
  • 2026-09-15
  • Ultrafast all-optical modulation of wide-bandwidth pulses enabled by silicon-metasurfaces
  • Kaloyan Georgiev, Khosro Zangeneh Kamali, Anton A. Trifonov, Giulia Crotti, Lyuben Petrov, Stefan Georgiev, Hristo Iliev, Lei Xu, Unai Arregui Leon, Mohsen Rahmani, Giuseppe Della Valle, Ivan Buchvarov, Dragomir Neshev
  • Opto-Electronic Advances
  • 2026-09-15
  • Physics-informed neural fields enable blind aberration correction for partially coherent quantitative phase imaging
  • Shun Zhou, Xingyu Huang, Linpeng Lu, Habib Ullah, Kaiyu Du, Maciej Trusiak, Malgorzata Kujawinska, Yuzhen Zhang, Yao Fan, Qian Chen, Qinrong Zhang, Chao Zuo
  • Opto-Electronic Science
  • 2026-08-26
  • Programmable directional photonic spiking neuron based on a non-Hermitian silicon microresonator
  • Stefano Biasi, Bülent Aslan, Stefano Gretter, Davide Olivieri, Alessandro Foradori, Riccardo Franchi, Lorenzo Pavesi
  • Opto-Electronic Science
  • 2026-08-26
  • Mutual empowerment of artificial intelligence and metasurfaces: intelligent nanophotonics and optical intelligence
  • Yu Zhao, Zile Li, Yongquan Zeng, Shaohua Yu, Guoxing Zheng
  • Opto-Electronic Science
  • 2026-08-26



  • Joint D2D Collaboration and Task Offloading for Edge Computing: A Mean Field Graph Approach                                pSAV: A Practical and Decentralized Inter-AS Source Address Validation
    About
    |
    Contact
    |
    Copyright © PubCard