@article{8d713c96ccc24d41b124211488e3da77,
title = "Absorbing Microbursts Without Headroom for Data Center Networks",
abstract = "In data center networks, handling microbursts is crucial to user experience because the microburst causes excessive packet losses in shallow buffered switches. Explicit congestion notification (ECN) enables the switch to absorb microbursts by leaving buffer headroom, but has a fundamental trade-off between latency and throughput. In this letter, we propose LossPass, a switch port management scheme that achieves low latency and high throughput simultaneously. LossPass breaks the trade-off of ECN by absorbing microbursts without headroom. Intensive benchmark results demonstrate that LossPass reduces the average and tail latency of small flows while maintaining line-rate throughput.",
keywords = "Data center networks, ECN, microbursts",
author = "Gyuyeong Kim and Wonjun Lee",
note = "Funding Information: Manuscript received December 19, 2018; revised February 11, 2019; accepted March 19, 2019. Date of publication March 22, 2019; date of current version May 8, 2019. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and Information and Communication Technology (ICT) under Grant 2017R1A2B2004811, and in part by the Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT under Grant 2017M3C4A7083676. The associate editor coordinating the review of this letter and approving it for publication was A. Al-Fuqaha. (Corresponding author: Wonjun Lee.) The authors are with the Network and Security Research Laboratory, School of Cybersecurity, Korea University, Seoul 02841, South Korea (e-mail: gykim08@korea.ac.kr; wlee@korea.ac.kr). Digital Object Identifier 10.1109/LCOMM.2019.2907087 Fig. 1. The trade-off between latency and throughput in ECN. Through ns-2, we simulate a compute rack consisting of 32 servers and a ToR switch. Overall, we generate 10K queries where each of 32 senders responds with 32KB of data. C = 10Gbps,RT T = 100µs, BDP ≈ 84pkts. Funding Information: This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and Information and Communication Technology (ICT) under Grant 2017R1A2B2004811, and in part by the Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT under Grant 2017M3C4A7083676. Publisher Copyright: {\textcopyright} 2019 IEEE.",
year = "2019",
month = may,
doi = "10.1109/LCOMM.2019.2907087",
language = "English",
volume = "23",
pages = "806--809",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",
}