CodedBulk: Inter-Datacenter Bulk Transfers using Network Coding


Shih-Hao Tseng, Saksham Agarwal, and Rachit Agarwal, Cornell University; Hitesh Ballani, Microsoft Research; Ao Tang, Cornell University


This paper presents CodedBulk, a system for high-throughput inter-datacenter bulk transfers. At its core, CodedBulk uses network coding, a technique from the coding theory community, that guarantees optimal throughput for individual bulk transfers. Prior attempts to using network coding in wired networks have faced several pragmatic and fundamental barriers. CodedBulk resolves these barriers by exploiting the unique properties of inter-datacenter networks, and by using a custom-designed hop-by-hop flow control mechanism that enables efficient realization of network coding atop existing transport protocols. An end-to-end CodedBulk implementation running on a geo-distributed inter-datacenter network improves bulk transfer throughput by 1.2-2.5x compared to state-of-the-art mechanisms that do not use network coding.

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@inproceedings {265023,
author = {Shih-Hao Tseng and Saksham Agarwal and Rachit Agarwal and Hitesh Ballani and Ao Tang},
title = {{CodedBulk}: {Inter-Datacenter} Bulk Transfers using Network Coding},
booktitle = {18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21)},
year = {2021},
isbn = {978-1-939133-21-2},
pages = {15--28},
url = {},
publisher = {USENIX Association},
month = apr

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