POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets

Yunzhe Ni; Feng Qian; Taide Liu; Yihua Cheng; Zhiyao Ma; Jing Wang; Zhongfeng Wang; Gang Huang; Xuanzhe Liu; Chenren Xu

POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets

Yunzhe Ni, Feng Qian, Taide Liu, Yihua Cheng, Zhiyao Ma, Jing Wang, Zhongfeng Wang, Gang Huang, Xuanzhe Liu, Chenren Xu

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Modern high-speed railway (HSR) systems offer a speed of more than 250 km/h, making on-board Internet access through track-side cellular base stations extremely challenging. We conduct extensive measurements on commercial HSR trains, and collect a massive 1.79 TB GPS-labeled TCP-LTE dataset covering a total travel distance of 28, 800 km. Leveraging the new insights from the measurement, we design, implement, and evaluate POLYCORN, a first-of-its-kind networking system that can significantly boost Internet performance for HSR passengers. The core design of POLYCORN consists of a suite of composable multipath schedulerlets that intelligently determine what, when, and how to schedule user traffic over multiple highly fluctuating cellular links between HSR and track-side base stations. POLYCORN is specially designed for HSR environments through a cross-layer and data-driven proactive approach. We deploy POLYCORN on the operational LTE gateway of the popular Beijing-Shanghai HSR route at 300 km/h. Real-world experiments demonstrate that POLYCORN outperforms the state-of-the-art multipath schedulers by up to 242% in goodput, and reduces the delivery time by 45% for instant messaging applications.

Original language	English (US)
Title of host publication	Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023
Publisher	USENIX Association
Pages	1325-1340
Number of pages	16
ISBN (Electronic)	9781939133335
State	Published - 2023
Event	20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023 - Boston, United States Duration: Apr 17 2023 → Apr 19 2023

Publication series

Name	Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023

Conference

Conference	20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023
Country/Territory	United States
City	Boston
Period	4/17/23 → 4/19/23

Bibliographical note

Funding Information:
Acknowledgment We are grateful to the reviewers for their constructive critique, and our shepherd Keith Winstein in particular, for his valuable comments, all of which have helped us greatly improve this paper. We also thank Dina Katabi, Songwu Lu, Kun Tan and Yong Cui for their thoughtful input based on an early version of the work. This work was supported by National Key Research and Development Plan, China (Grant No. 2020YFB1710900), National Natural Science Foundation of China (Grant No. 62022005 and 62172008) and Microsoft Research Asia. Chenren Xu is the corresponding author.

Publisher Copyright:
© NSDI 2023.All rights reserved

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

Ni, Y., Qian, F., Liu, T., Cheng, Y., Ma, Z., Wang, J., Wang, Z., Huang, G., Liu, X., & Xu, C. (2023). POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets. In Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023 (pp. 1325-1340). (Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023). USENIX Association.

POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets. / Ni, Yunzhe; Qian, Feng; Liu, Taide et al.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023. USENIX Association, 2023. p. 1325-1340 (Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ni, Y, Qian, F, Liu, T, Cheng, Y, Ma, Z, Wang, J, Wang, Z, Huang, G, Liu, X & Xu, C 2023, POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets. in Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023. Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023, USENIX Association, pp. 1325-1340, 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023, Boston, United States, 4/17/23.

Ni Y, Qian F, Liu T, Cheng Y, Ma Z, Wang J et al. POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets. In Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023. USENIX Association. 2023. p. 1325-1340. (Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023).

Ni, Yunzhe ; Qian, Feng ; Liu, Taide et al. / POLYCORN : Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets. Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023. USENIX Association, 2023. pp. 1325-1340 (Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023).

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POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

OpenUrl availability

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