Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays


Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, and Ion Stoica, University of California, Berkeley


Cloud applications are increasingly distributing data across multiple regions and cloud providers. Unfortunately, widearea bulk data transfers are often slow, bottlenecking applications. We demonstrate that it is possible to significantly improve inter-region cloud bulk transfer throughput by adapting network overlays to the cloud setting—that is, by routing data through indirect paths at the application layer. However, directly applying network overlays in this setting can result in unacceptable increases in cloud egress prices. We present Skyplane, a system for bulk data transfer between cloud object stores that uses cloud-aware network overlays to optimally navigate the trade-off between price and performance. Skyplane's planner uses mixed-integer linear programming to determine the optimal overlay path and resource allocation for data transfer, subject to user-provided constraints on price or performance. Skyplane outperforms public cloud transfer services by up to 4.6× for transfers within one cloud and by up to 5.0× across clouds.

NSDI '23 Open Access Sponsored by
King Abdullah University of Science and Technology (KAUST)

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This content is available to:

@inproceedings {285204,
author = {Paras Jain and Sam Kumar and Sarah Wooders and Shishir G. Patil and Joseph E. Gonzalez and Ion Stoica},
title = {Skyplane: Optimizing Transfer Cost and Throughput Using {Cloud-Aware} Overlays},
booktitle = {20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23)},
year = {2023},
isbn = {978-1-939133-33-5},
address = {Boston, MA},
pages = {1375--1389},
url = {},
publisher = {USENIX Association},
month = apr
Jain Paper (Prepublication) PDF

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