Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems-Reference-Cited by-同舟云学术

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Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems

Published:2014-11 Issue: Volume: Page:
ISSN:
Container-title:SC14: International Conference for High Performance Computing, Networking, Storage and Analysis
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Author:

Oral Sarp,Simmons James,Hill Jason,Leverman Dustin,Wang Feiyi,Ezell Matt,Miller Ross,Fuller Douglas,Gunasekaran Raghul,Kim Youngjae,Gupta Saurabh,Vazhkudai Devesh Tiwari Sudharshan S.,Rogers James H.,Dillow David,Shipman Galen M.,Bland Arthur S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7012142/7012182/07013005.pdf?arnumber=7013005

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mobilizing underutilized storage nodes via job path: A job-aware file striping approach;Parallel Computing;2024-09

2. Tarazu: An Adaptive End-to-end I/O Load-balancing Framework for Large-scale Parallel File Systems;ACM Transactions on Storage;2024-04-04

3. I/O Access Patterns in HPC Applications: A 360-Degree Survey;ACM Computing Surveys;2023-09-15

4. End-to-end I/O Monitoring on Leading Supercomputers;ACM Transactions on Storage;2023-01-11

5. STOWP: A light-weight deep residual network integrated windowing strategy for storage workload prediction in cloud systems;Engineering Applications of Artificial Intelligence;2022-10

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