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Home » Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers
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Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers

Authors: 

Guo Chen, Tsinghua University and Microsoft Research; Yuanwei Lu, University of Science and Technology of China and Microsoft Research; Yuan Meng, Tsinghua University; Bojie Li, University of Science and Technology of China and Microsoft Research; Kun Tan, Microsoft Research; Dan Pei, Tsinghua University; Peng Cheng, Layong (Larry) Luo, and Yongqiang Xiong, Microsoft Research; Xiaoliang Wang, Nanjing University; Youjian Zhao, Tsinghua University

Abstract: 

To achieve low TCP flow completion time (FCT) in data center networks (DCNs), it is critical and challenging to rapidly recover loss without adding extra congestion. Therefore, in this paper we propose a novel loss recovery approach FUSO that exploits multi-path diversity in DCN for transport loss recovery. In FUSO, when a multi-path transport sender suspects loss on one subflow, recovery packets are immediately sent over another sub-flow that is not or less lossy and has spare congestion window slots. FUSO is fast in that it does not need to wait for timeout on the lossy sub-flow, and it is cautious in that it does not violate congestion control algorithm. Testbed experiments and simulations show that FUSO decreases the latency-sensitive flows’ 99th percentile FCT by up to ~82.3% in a 1Gbps testbed, and up to ~87.9% in a 10Gpbs large-scale simulated network.

Guo Chen, Tsinghua University and Microsoft Research

Yuanwei Lu, University of Science and Technology of China and Microsoft Research

Yuan Meng, Tsinghua University

Bojie Li, University of Science and Technology of China and Microsoft Research

Kun Tan, Microsoft Research

Dan Pei, Tsinghua University

Peng Cheng, Microsoft Research

Layong (Larry) Luo, Microsoft Research

Yongqiang Xiong, Microsoft Research

Xiaoliang Wang, Nanjing University

Youjian Zhao, Tsinghua Unviversity

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BibTeX
@inproceedings {196182,
author = {Guo Chen and Yuanwei Lu and Yuan Meng and Bojie Li and Kun Tan and Dan Pei and Peng Cheng and Layong (Larry) Luo and Yongqiang Xiong and Xiaoliang Wang and Youjian Zhao},
title = {Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers},
booktitle = {2016 USENIX Annual Technical Conference (USENIX ATC 16)},
year = {2016},
isbn = {978-1-931971-30-0},
address = {Denver, CO},
pages = {29--42},
url = {https://www.usenix.org/conference/atc16/technical-sessions/presentation/chen},
publisher = {USENIX Association},
month = jun,
}
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