ReZNS: Energy and Performance-Optimal Mapping Mechanism for ZNS SSD

Today, energy and performance efficiency have become a crucial factor in modern computing environments, such as high-end mobile devices, desktops, and enterprise servers, because data volumes in cloud datacenters increase exponentially. Unfortunately, many researchers and engineers neglect the power consumption and internal performance incurred by storage devices. In this paper, we present a renewable-zoned namespace (ReZNS), an energy and performance-optimal mechanism based on emerging ZNS SSDs. Specifically, ReZNS recycles the remaining capacity of zones that are no longer used by adding a renewable concept into the mapping mechanism. We implemented a prototype of ReZNS based on NVMeVirt and performed comprehensive experiments with diverse workloads from synthetic to real-world workloads to quantitatively confirm power and performance benefits. Our evaluation results present that ReZNS improves overall performance by up to 60% and the total power consumption by up to 3% relative to the baseline on ZNS SSD. We believe ReZNS creates new opportunities to prolong the lifespan of various consumer electronics, such as TV, AV, and mobile devices, because storage devices play a crucial role in their replacement cycle.

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Publication Details

Journal
Applied Sciences
Published
2024-10-24
DOI
https://doi.org/10.3390/app14219717
Citations
3
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
1.05

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article

ReZNS: Energy and Performance-Optimal Mapping Mechanism for ZNS SSD

Dong Hyun Kang, Donghyeok An, Chanyong Lee, H Kim et al.
3 citations
Applied Sciences
Advanced Data Storage Technologies
1.05
article

ReZNS: Energy and Performance-Optimal Mapping Mechanism for ZNS SSD

Dong Hyun Kang, Donghyeok An, Chanyong Lee, H Kim, Sangheon Lee, Gyupin Moon
article en
3 citations

Abstract

Today, energy and performance efficiency have become a crucial factor in modern computing environments, such as high-end mobile devices, desktops, and enterprise servers, because data volumes in cloud datacenters increase exponentially. Unfortunately, many researchers and engineers neglect the power consumption and internal performance incurred by storage devices. In this paper, we present a renewable-zoned namespace (ReZNS), an energy and performance-optimal mechanism based on emerging ZNS SSDs. Specifically, ReZNS recycles the remaining capacity of zones that are no longer used by adding a renewable concept into the mapping mechanism. We implemented a prototype of ReZNS based on NVMeVirt and performed comprehensive experiments with diverse workloads from synthetic to real-world workloads to quantitatively confirm power and performance benefits. Our evaluation results present that ReZNS improves overall performance by up to 60% and the total power consumption by up to 3% relative to the baseline on ZNS SSD. We believe ReZNS creates new opportunities to prolong the lifespan of various consumer electronics, such as TV, AV, and mobile devices, because storage devices play a crucial role in their replacement cycle.

Applied SciencesVol. 14(21)
Gachon University (KR), Changwon National University (KR)
National Research Foundation of Korea
Affordable and clean energy
Openalex Percentile: Top 21%
Advanced Data Storage Technologies
1.05
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ReZNS: Energy and Performance-Optimal Mapping Mechanism for ZNS SSD — Dong Hyun Kang, Donghyeok An, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS