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An Empirical Performance Evaluation of Multiple Intel Optane Solid-State Drives
- Source :
- Electronics, Volume 10, Issue 11, Electronics, Vol 10, Iss 1325, p 1325 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Cloud computing as a service-on-demand architecture has grown in importance over the last few years. The storage subsystem in cloud computing has undergone enormous innovation to provide high-quality cloud services. Emerging Non-Volatile Memory Express (NVMe) technology has attracted considerable attention in cloud computing by delivering high I/O performance in latency and bandwidth. Specifically, multiple NVMe solid-state drives (SSDs) can provide higher performance, fault tolerance, and storage capacity in the cloud computing environment. In this paper, we performed an empirical evaluation study of performance on recent NVMe SSDs (i.e., Intel Optane SSDs) with different redundant array of independent disks (RAID) environments. We analyzed multiple NVMe SSDs with RAID in terms of different performance metrics via synthesis and database benchmarks. We anticipate that our experimental results and performance analysis will have implications for various storage systems. Experimental results showed that the software stack overhead reduced the performance by up to 75%, 52%, 76%, 91%, and 92% in RAID 0, 1, 10, 5, and 6, respectively, compared with theoretical and expected performance.
- Subjects :
- non-volatile memory
TK7800-8360
Computer Networks and Communications
Computer science
RAID
Cloud computing
02 engineering and technology
computer.software_genre
law.invention
Software
law
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Bandwidth (computing)
Overhead (computing)
Electrical and Electronic Engineering
solid-state drives
Standard RAID levels
Hardware_MEMORYSTRUCTURES
business.industry
NVM Express
Fault tolerance
020202 computer hardware & architecture
redundant array of independent disks (RAID)
Hardware and Architecture
Control and Systems Engineering
Signal Processing
Operating system
Electronics
business
computer
Subjects
Details
- ISSN :
- 20799292
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Electronics
- Accession number :
- edsair.doi.dedup.....aea20fd83bf1ff1671621e022e5e3a9c
- Full Text :
- https://doi.org/10.3390/electronics10111325