Revisiting I/O behavior in large-scale storage systems: the expected and the unexpected
Revisiting I/O behavior in large-scale storage systems: the expected and the unexpected
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重新审视大规模存储系统中的 I/O 行为:预期和意外
DOI:
10.1145/3295500.3356183
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发表时间:
2019
期刊:
影响因子:
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通讯作者:
Tirthak Patel, Suren Byna
中科院分区:
文献类型:
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作者:
Tirthak Patel, Suren Byna
Large-scale applications typically spend a large fraction of their execution time performing I/O to a parallel storage system. However, with rapid progress in compute and storage system stack of large-scale systems, it is critical to investigate and update our understanding of the I/O behavior of large-scale applications. Toward that end, in this work, we monitor, collect and analyze a year worth of storage system data from a large-scale production parallel storage system. We perform temporal, spatial and correlative analysis of the system and uncover surprising patterns which defy existing assumptions and have important implications for future systems.
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DOI:
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发表时间:
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作者:
仁志 安藤;尚史 加賀谷;康弘 竹森;八嗣 野田
通讯作者:
八嗣 野田
DOI:
10.1007/978-3-030-02465-9_4
发表时间:
2018
期刊:
2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS)
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发表时间:
2010
期刊:
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DOI:
--
发表时间:
2013
期刊:
--
影响因子:
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作者:
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Ross G. Miller
影响因子:
3.7
作者:
Dan Huang;Qing Liu;J. Choi;N. Podhorszki;S. Klasky;Jeremy S. Logan;G. Ostrouchov;Xubin He;M. Wolf
通讯作者:
Dan Huang;Qing Liu;J. Choi;N. Podhorszki;S. Klasky;Jeremy S. Logan;G. Ostrouchov;Xubin He;M. Wolf