Tirthak Patel, Northeastern University; Rohan Garg, Nutanix; Devesh Tiwari, Northeastern University
Large-scale parallel applications are highly data-intensive and perform terabytes of I/O routinely. Unfortunately, on a large-scale system where multiple applications run concurrently, I/O contention negatively affects system efficiency and causes unfair bandwidth allocation among applications. To address these challenges, this paper introduces GIFT, a principled dynamic approach to achieve fairness among competing applications and improve system efficiency.
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author = {Tirthak Patel and Rohan Garg and Devesh Tiwari},
title = {{GIFT}: A Coupon Based {Throttle-and-Reward} Mechanism for Fair and Efficient {I/O} Bandwidth Management on Parallel Storage Systems},
booktitle = {18th USENIX Conference on File and Storage Technologies (FAST 20)},
year = {2020},
isbn = {978-1-939133-12-0},
address = {Santa Clara, CA},
pages = {103--119},
url = {https://www.usenix.org/conference/fast20/presentation/patel-gift},
publisher = {USENIX Association},
month = feb
}
