Enhancing hybrid parallel file system through performance and space-aware data layout

Author:

He Shuibing12,Liu Yan3,Wang Yang4,Sun Xian-He5,Huang Chuanhe1

Affiliation:

1. State Key Laboratory of Software Engineering Computer School, Wuhan University, Wuhan, Hubei, China

2. State Key Laboratory of High Performance Computing National University of Defense Technology, Changsha, Hunan, China

3. College of Computer Science and Electronic Engineering, Hunan University, China

4. Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen, China

5. Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA

Abstract

Hybrid parallel file systems (PFSs), which consist of solid-state drive servers (SServer) and hard disk drive servers (HServer), have recently attracted growing attention. Compared to a traditional HServer, an SServer consistently provides improved storage performance but lacks storage space. However, most current data layout schemes do not consider the differences in performance and space between heterogeneous servers and may significantly degrade the performance of the hybrid PFSs. In this article, we propose performance and space-aware (PSA) scheme, a novel data layout scheme, which maximizes the hybrid PFSs’ performance by applying adaptive varied-size file stripes. PSA dispatches data on heterogeneous file servers not only based on storage performance but also storage space. We have implemented PSA within OrangeFS, a popular PFS in the high-performance computing domain. Our extensive experiments with representative benchmarks, including IOR, HPIO, MPI-TILE-IO, and BTIO, show that PSA provides superior I/O throughput than the default and performance-aware file data layout schemes.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

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