research-article

Memory-mapped I/O on steroids

Authors:

Anastasios Papagiannis,

Manolis Marazakis,

Angelos BilasAuthors Info & Claims

EuroSys '21: Proceedings of the Sixteenth European Conference on Computer Systems

Pages 277 - 293

https://doi.org/10.1145/3447786.3456242

Published: 21 April 2021 Publication History

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Editorial Notes

The editors have requested minor, non-substantive changes to the VoR and, in accordance with ACM policies, a Corrected VoR was published on April 28, 2021. For reference purposes the VoR may still be accessed via the Supplemental Material section on this page.

Abstract

With current technology trends for fast storage devices, the host-level I/O path is emerging as a main bottleneck for modern, data-intensive servers and applications. The need to improve I/O performance requires customizing various aspects of the I/O path, including the page cache and the method to access the storage devices.

In this paper, we present Aquila, a library OS that allows applications to reduce I/O overhead by customizing the memory-mapped I/O (mmio) path for files or storage devices. Compared to Linux mmap, Aquila (a) offers full mmio compatibility and protection to minimize application modifications, (b) allows applications to customize the DRAM I/O cache, its policies, and access to storage devices, and (c) significantly reduces I/O overhead. Aquila achieves its mmio compatibility, flexibility, and performance by placing the application in a privileged domain, non-root ring 0.

We show the benefits of Aquila in two cases: (a) Using mmio in key-value stores to reduce I/O overhead and (b) utilizing mmio in graph processing applications to extend the memory heap over fast storage devices. Aquila requires 2.58× fewer CPU cycles for cache management in RocksDB, compared to user-space caching and read/write system calls and results in 40% improvement in request throughput. Finally, we use Ligra, a graph processing framework, to show the efficiency of Aquila in extending the memory heap over fast storage devices. In this case, Aquila results in up to 4.14× lower execution time compared to Linux mmap.

Supplementary Material

3456242-vor (3456242-vor.pdf)

Version of Record for "Memory-mapped I/O on steroids" by Papagiannis et al., Proceedings of the Sixteenth European Conference on Computer Systems (EuroSys '21).

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References

[1]

Alexandra Fedorova. [n. d.]. Getting storage engines ready for fast storage devices. https://engineering.mongodb.com/post/getting-storage-engines-ready-for-fast-storage-devices. Accessed: March 18, 2021.

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