UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow-Reference-Cited by-同舟云学术

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UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow

Published:2015 Issue: Volume: Page:99-114
ISSN:0302-9743
Container-title:Cloud Computing and Big Data
language:
Short-container-title:

Author:

Huang Dan,Yin Jiangling,Wang Jun,Zhang Xuhong,Zhang Junyao,Zhou Jian

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-28430-9_8

Reference35 articles.

1. Amazon Inc.: High performance computing (hpc). https://aws.amazon.com/hpc/

2. Data-Intensive Computing: Finding the Right Program Models. http://hpdc2010.eecs.northwestern.edu/HPDC2010Bryant.pdf

3. Fastbit: An efficient compressed bitmap index technology. https://sdm.lbl.gov/fastbit/

4. Fuse-dfs. http://wiki.apache.org/hadoop/MountableHDFS

5. Fuse: Filesystem in userspace

Cited by 3 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. Mission possible: Unify HPC and Big Data stacks towards application-defined blobs at the storage layer;Future Generation Computer Systems;2020-08

2. Approaches of enhancing interoperations among high performance computing and big data analytics via augmentation;Cluster Computing;2019-08-03

3. Could Blobs Fuel Storage-Based Convergence Between HPC and Big Data?;2017 IEEE International Conference on Cluster Computing (CLUSTER);2017-09

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