ONFS：面向高性能计算的基于内存、固态硬盘和磁盘的层次式混合文件系统

刘欣; 卢宇彤; 喻杰; 王鹏飞; 吴皆霆; 陆颖

doi:10.1631/FITEE.1700626

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ONFS：面向高性能计算的基于内存、固态硬盘和磁盘的层次式混合文件系统

特邀文章 | Updated：2022-06-06

- ONFS：面向高性能计算的基于内存、固态硬盘和磁盘的层次式混合文件系统
  Enhanced Publication
- ONFS: a hierarchical hybrid file system based on memory, SSD, and HDD for high performance computers
- 信息与电子工程前沿（英文） 2017年18卷第12期页码：1940-1971
- Affiliations：
  
  School of Computer, National University of Defense Technology, Changsha 410073, China
  Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln 68588, USA
  National Supercomputing Center, Tianjin 300457, China)
- Author bio：
  
  [ "", "Xin LIU, first author of this invited paper, received her Bachelor's degree in Computer Science and Technology from the Nanjing University of Science and Technology in China in 2010. She is a PhD candidate in Computer Science and Technology at the National University of Defense Technology in China, and a PhD candidate at the University of Nebraska-Lincoln in the USA. She studies highperformance storage and parallel file system, and participates in many projects supported by Chinese funding agencies" ]
  [ "", "Dr. Yu-tong LU, ISC fellow, a faculty at both Sun Yat-sen University (SYSU) and the National University of Defense Technology (NUDT). She is Director of National Supercomputing Center in Guangzhou. She received her B.S., MS and PhD from the NUDT. She has extensive research and development experience over several generations of Chinese supercomputers, and she is the deputy chief designer of Tianhe-2 system. She leads a number of HPC and big data projects under the support of the Chinese Ministry of Science and Technology, the National Natural Science Foundation of China, and Guangdong Province. Her research interests include parallel operating system (OS), high speed communications, global file systems, and advanced programming environments converging HPC and big data. ytlu@nudt.edu.cn" ]
  [ "Jie YU, yujie@nscc-tj.gov.cn" ]
  [ "Peng-fei WANG, wangpf@nscc-tj.gov.cn" ]
  [ "Jie-ting WU, jwu@cse.unl.edu" ]
  [ "Ying LU, ylu@cse.unl.edu" ]
- Funds：
  
  Project supported by the National Key Research and Development Program of China (No. 2016YFB0200402)
- DOI：10.1631/FITEE.1700626
  中图分类号： TP303
- 纸质出版日期：2017-12，
  
  收稿日期：2017-09-25，
  
  修回日期：2017-12-27，
- Accepted：
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刘欣, 卢宇彤, 喻杰, 等. ONFS：面向高性能计算的基于内存、固态硬盘和磁盘的层次式混合文件系统[J]. 信息与电子工程前沿（英文）, 2017,18(12):1940-1971.

LIU XIN, LU YU-TONG, YU JIE, et al. ONFS: a hierarchical hybrid file system based on memory, SSD, and HDD for high performance computers. [J]. Frontiers of information technology & electronic engineering, 2017, 18(12): 1940-1971.
刘欣, 卢宇彤, 喻杰, 等. ONFS：面向高性能计算的基于内存、固态硬盘和磁盘的层次式混合文件系统[J]. 信息与电子工程前沿（英文）, 2017,18(12):1940-1971. DOI： 10.1631/FITEE.1700626.

LIU XIN, LU YU-TONG, YU JIE, et al. ONFS: a hierarchical hybrid file system based on memory, SSD, and HDD for high performance computers. [J]. Frontiers of information technology & electronic engineering, 2017, 18(12): 1940-1971. DOI： 10.1631/FITEE.1700626.

摘要

随着超级计算机向Eflops规模快速发展和计算核数急剧增加，更大规模和更复杂的应用成为可能。大规模科学计算、新的工作流应用以及检查点操作均需要存储系统具有非常高的带宽和低延迟，这使得高性能存储系统面临严峻的技术挑战。当前基于磁盘的底层存储系统难以满足新一代Eflops超级计算机和应用的要求。为此，本文提出了基于计算结点内存、固态硬盘和磁盘的层次式混合存储系统ONFS(on-line and near-line file system)。它具有三个存储层次和统一的命名空间，支持可移植操作系统接口（portable operating system interface

POSIX）协议，可提供高带宽、低延迟和超大存储容量。本文详细分析了分布式元数据管理、内存借用和归还策略、数据一致性、并行访问控制，以及向下迁移和向上主动预迁移机制。在天河一号超级计算机上实现了ONFS原型系统，测试了I/O（input/output）性能和可扩展性。测试结果表明，单线程和多线程读/写性能比基于磁盘的Lustre分别高出6倍和5倍。与Lustre相比，运行在ONFS上的典型数据密集型应用可获得6.35倍的I/O加速。

Abstract

With supercomputers developing towards exascale

the number of compute cores increases dramatically

making more complex and larger-scale applications possible. The input/output (I/O) requirements of large-scale applications

workflow applications

and their checkpointing include substantial bandwidth and an extremely low latency

posing a serious challenge to high performance computing (HPC) storage systems. Current hard disk drive (HDD) based underlying storage systems are becoming more and more incompetent to meet the requirements of next-generation exascale supercomputers. To rise to the challenge

we propose a hierarchical hybrid storage system

on-line and near-line file system (ONFS). It leverages dynamic random access memory (DRAM) and solid state drive (SSD) in compute nodes

and HDD in storage servers to build a three-level storage system in a unified namespace. It supports portable operating system interface (POSIX) semantics

and provides high bandwidth

low latency

and huge storage capacity. In this paper

we present the technical details on distributed metadata management

the strategy of memory borrow and return

data consistency

parallel access control

and mechanisms guiding downward and upward migration in ONFS. We implement an ONFS prototype on the TH-1A supercomputer

and conduct experiments to test its I/O performance and scalability. The results show that the bandwidths of single-thread and multi-thread nreado/nwriteo are 6-fold and 5-fold better than HDD-based Lustre

respectively. The I/O bandwidth of data-intensive applications in ONFS can be 6.35 times that in Lustre.

关键词

高性能计算层次式混合存储系统分布式元数据管理数据迁移

Keywords

High performance computingHierarchical hybrid storage systemDistributed metadata managementData migration

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