Provisioning CSD-based Storage Systems with Erasure-coding Offloaded to the CSD

被引：0

作者：

Byun, Hongsu ^{[1
]}

Jamil, Safdar ^{[1
]}

Ryu, Junghyun ^{[1
]}

Park, Sungyong ^{[1
]}

Lee, Myungcheol ^{[2
]}

Park, Sung-Soon ^{[3
,4
]}

Kim, Youngjae ^{[1
]}

机构：

[1] Sogang Univ, Dept Comp Sci & Engn, Seoul 04107, South Korea

[2] ETRI, Smart Data Res Sect, Daejeon 34129, South Korea

[3] GlueSys, Seoul 34129, South Korea

[4] Anyang Univ, Seoul 34129, South Korea

来源：

JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE | 2024年 / 24卷 / 01期

关键词：

Storage system; computational storage drive; erasure coding; analytical modeling and simulation;

D O I：

10.5573/JSTS.2024.24.1.8

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

While commercially available Computational Storage Drives (CSD) have appeared, it is challenging to build a CSD array -based storage system due to the lack of storage provisioning tools determining the performance and cost-effectiveness of a storage system with CSDs. Therefore, C SD P LAN , a storage provisioning tool to find the number of performance -efficient CSDs when building a storage system with CSD, has been proposed. However, the effectiveness of C SD P LAN has only been evaluated using specific big data analysis workloads, which are not computationally intensive. In this work, we extend C SD P LAN to propose C SD P LAN -EC, a CSD provisioning tool for building storage systems with computationally intensive erasure coding offloaded to CSDs. Our evaluation shows that the optimal number of CSDs running erasure coding in a storage system is 5 and that it decreases to 1 when the computational power of the CSDs is improved by a factor of 5.

引用

页码：8 / 17

页数：10

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