Analysis of I/O Performance for Optimizing Software Defined Storage in Cloud Integration

被引：0

作者：

Cha, Jae-Geun ^{[1
]}

Kim, Seongwoon ^{[1
]}

机构：

[1] Elect & Telecommun Res Inst, Cloud Comp Res Grp, Daejeon, South Korea

来源：

2018 IEEE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION SYSTEMS (ICCIS) | 2018年

关键词：

software defined storage; on-premise storage; cloud storage; cloud integration; cloud integrated storage; I/O performance measurement; SECURITY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduces the essentials for implementing software-defined storage using a combination of on-premises and public cloud storage. We deploy three fundamental factors (chunk-meta data cache, data distribution processing and block-object storage interface) to combine storages. In order to provide customer with best performance of storage, it is essential to analyze I/O performance according to characteristics and configuration of the combined storages. As a result, we measure I/O performance of the deployed storage and the data write speed is increased up to 44% when the size of one chunk data was changed from 4MB and 128MB. Also, the data storing time is reduced if the number of physical storage devices increase. Additionally, the disk I/O performance decreases when the number of program to provide interface for object storages is increased in a single physical storage.

引用

页码：222 / 226

页数：5

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