File System Write-Optimization on High-Performance Computing Support Platform

被引：0

作者：

Wang, Jiye ^{[1
]}

Zeng, Nan ^{[1
]}

Yu, Jun ^{[2
]}

Zhu, Guangxin ^{[2
]}

Pang, Hengmao ^{[2
]}

Lin, Jian ^{[2
]}

机构：

[1] State Grid Corp China, Beijing, Peoples R China

[2] NARI Grp Corp, State Grid Elect Power Res Inst, Wuhan, Hubei, Peoples R China

来源：

PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING (ICMSE 2017) | 2017年 / 128卷

关键词：

Write Optimization; Distributed File System; Write-Ahead Log; HCSP;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The development of energy grid results in explosive data increasing. Handling the large volume of data not only requires vast storage space, but also requires the power to process them. Based on various write-optimization technologies, we proposed the high-performance computing support platform (HCSP) as a demonstration of write-optimization performance. HCSP integrates both hot/cold data layering and full-stack sense optimization, utilizes both SSD and SATA disk to accelerate the data storage and access. The experimental results show that compare to the small servers, HCSP not only provides a high-performance data access but also have a relatively short response time in various typical scenarios.

引用

页码：156 / 159

页数：4

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