Toward Ultra-Low Latency SSDs: Analyzing the Impact on Data-Intensive Workloads

The recent trend in hyper-scale computing has shown that applications are getting hungrier for low, consistent latency for predictably fast service. In accordance with this change, storage vendors have innovated their SSDs to keep ultra-low latencies while delivering high IOPS. Even though these SSD...

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Main Author: Insoon Jo
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/13/1/174
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author Insoon Jo
author_facet Insoon Jo
author_sort Insoon Jo
collection DOAJ
description The recent trend in hyper-scale computing has shown that applications are getting hungrier for low, consistent latency for predictably fast service. In accordance with this change, storage vendors have innovated their SSDs to keep ultra-low latencies while delivering high IOPS. Even though these SSDs can provide significant value to a wide variety of workloads, their practical impact on performance has not been discussed much. In this context, our study aims to empirically examine the impact of emerging ultra-low latency SSDs on workload performance, particularly in comparison to the latest conventional SSDs. We conduct benchmarking using a diverse set of data-intensive workloads to comprehensively assess the performance of both ultra-low latency SSDs and conventional SSDs. Our research provides an in-depth performance analysis of the examined SSDs, shedding light on their comparative strengths and weaknesses. The results of our study contribute valuable insights into the practical implications of adopting ultra-low latency SSDs across various workloads, guiding future decisions in storage technology.
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spelling doaj.art-05a03e69680a47e3bec705d6dea861152024-01-10T14:54:58ZengMDPI AGElectronics2079-92922023-12-0113117410.3390/electronics13010174Toward Ultra-Low Latency SSDs: Analyzing the Impact on Data-Intensive WorkloadsInsoon Jo0Center for Creative Convergence Education, Hanyang University, Seoul 04763, Republic of KoreaThe recent trend in hyper-scale computing has shown that applications are getting hungrier for low, consistent latency for predictably fast service. In accordance with this change, storage vendors have innovated their SSDs to keep ultra-low latencies while delivering high IOPS. Even though these SSDs can provide significant value to a wide variety of workloads, their practical impact on performance has not been discussed much. In this context, our study aims to empirically examine the impact of emerging ultra-low latency SSDs on workload performance, particularly in comparison to the latest conventional SSDs. We conduct benchmarking using a diverse set of data-intensive workloads to comprehensively assess the performance of both ultra-low latency SSDs and conventional SSDs. Our research provides an in-depth performance analysis of the examined SSDs, shedding light on their comparative strengths and weaknesses. The results of our study contribute valuable insights into the practical implications of adopting ultra-low latency SSDs across various workloads, guiding future decisions in storage technology.https://www.mdpi.com/2079-9292/13/1/174low-latency SSDsdata-intensive workloadshyper-scale computing
spellingShingle Insoon Jo
Toward Ultra-Low Latency SSDs: Analyzing the Impact on Data-Intensive Workloads
Electronics
low-latency SSDs
data-intensive workloads
hyper-scale computing
title Toward Ultra-Low Latency SSDs: Analyzing the Impact on Data-Intensive Workloads
title_full Toward Ultra-Low Latency SSDs: Analyzing the Impact on Data-Intensive Workloads
title_fullStr Toward Ultra-Low Latency SSDs: Analyzing the Impact on Data-Intensive Workloads
title_full_unstemmed Toward Ultra-Low Latency SSDs: Analyzing the Impact on Data-Intensive Workloads
title_short Toward Ultra-Low Latency SSDs: Analyzing the Impact on Data-Intensive Workloads
title_sort toward ultra low latency ssds analyzing the impact on data intensive workloads
topic low-latency SSDs
data-intensive workloads
hyper-scale computing
url https://www.mdpi.com/2079-9292/13/1/174
work_keys_str_mv AT insoonjo towardultralowlatencyssdsanalyzingtheimpactondataintensiveworkloads