2007Computer Engineering and Applications JournalRequires access

Design and analysis of OSD storage system based on iSCSI

Zhou Jingli

Open publisher page 0 citations

Abstract

The iSCSI is a kind of storage protocol of high efficiency and high expansibility,and object storage system is a rising network storage architecture of cross-platform and security.This paper takes advantages of both,and realizes OSD storage system based on iSCSI.The test of experiment proves that the system has higher storage performance.

About this research paper

What this paper is about

The iSCSI is a kind of storage protocol of high efficiency and high expansibility,and object storage system is a rising network storage architecture of cross-platform and security.This paper takes advantages of both,and realizes OSD storage system based on iSCSI.The test of experiment proves that the system has higher storage performance.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The iSCSI is a kind of storage protocol of high efficiency and high expansibility,and object storage system is a rising network storage architecture of cross-platform and security.This paper takes advantages of both,and realizes OSD storage system based on iSCSI.The test of experiment proves that the system has higher storage performance.

Key concepts: iSCSI, Object storage, Computer science, Storage area network, Computer data storage, Protocol (science), RAID, Embedded system

Related papers

Back to paper searchBrowse research topicsOriginal source
Design and analysis of OSD storage system based on iSCSI — Research Paper | ScholarLens