I/O characteristic discovery for storage system optimizations-Reference-Cited by-同舟云学术

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I/O characteristic discovery for storage system optimizations

Published:2021-02 Issue: Volume:148 Page:1-13
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Zhou Jiang,Chen Yong,Dai Dong,Zhuang Yu,Wang Weiping

Funder

National Science Foundation, USA

Beijing Municipal Science and Technology Commission, China

Strategic Priority Research Program of Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference36 articles.

1. Introduction to Machine Learning;Alpaydin,2004

2. Apache spark documentation,2017

3. The Lustre Storage Architecture;Braam,2003

4. P. Carns, R. Latham, R. Ross, K. Iskra, S. Lang, K. Riley, 24/7 characterization of petascale I/O workloads, in: Proc. of Cluster Computing and Workshops, 2009.

5. P.H. Carns, W.B. Ligon III, R. Ross, R. Thakur, PVFS: A parallel file system for Linux clusters, in: Proc. of the 4th Annual Linux Showcase and Conference, 2000, pp. 391–430.

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