Data Transfer between Scientific Facilities – Bottleneck Analysis, Insights and Optimizations-Reference-Cited by-同舟云学术

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Data Transfer between Scientific Facilities – Bottleneck Analysis, Insights and Optimizations

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
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Author:

Liu Yuanlai,Liu Zhengchun,Kettimuthu Rajkumar,Rao Nageswara,Chen Zizhong,Foster Ian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8746066/8752631/08752877.pdf?arnumber=8752877

Cited by 21 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. Analysis and prediction of performance variability in large-scale computing systems;The Journal of Supercomputing;2024-03-28

2. Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression;2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS);2023-07

3. Use Only What You Need: Judicious Parallelism For File Transfers in High Performance Networks;Proceedings of the 37th International Conference on Supercomputing;2023-06-21

4. AIDTN: Towards a Real-Time AI Optimized DTN System With NVMeoF;IEEE Transactions on Parallel and Distributed Systems;2023-06

5. Moving small files in a networked environment;Future Generation Computer Systems;2023-02

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