Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kohei Hiraga"'
Publikováno v:
Journal of Universal Computer Science, Vol 26, Iss 1, Pp 89-106 (2020)
Metadata performance scalability is critically important in high-performance computing when accessing many small files from millions of clients. This paper proposes a design of a scalable distributed metadata server, PPMDS, for parallel file systems
Externí odkaz:
https://doaj.org/article/2ccef8d34bb446cb99c4f1763ab41a04
Publikováno v:
International Conference on High Performance Computing in Asia-Pacific Region.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5070bf5e0a6ee3b1ba61c0c39dac79e9
https://doi.org/10.1145/3492805.3492807
https://doi.org/10.1145/3492805.3492807
Publikováno v:
HPCC/SmartCity/DSS
The convergence of high-performance computing and big data, which has become known as the field of extreme big data, is problematic in that file creation in storage systems such as distributed file systems is not optimized. That is, the large workloa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2d12a07ffbeac47ed018b94b5673b8d
https://doi.org/10.2197/ipsjjip.25.438
https://doi.org/10.2197/ipsjjip.25.438
Publikováno v:
Journal of Information Processing. 24:824-833
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12621b87cecbf13de8f843fd22267209
https://doi.org/10.2197/ipsjjip.24.824
https://doi.org/10.2197/ipsjjip.24.824
Publikováno v:
SNAMS
There is a critical problem of metadata performance scalability in high-performance computing when accessing many small files from millions of clients. This paper proposes a design of PPMDS, a scalable distributed metadata server, to improve metadata
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c261da0f0adfd1d1d0072eb46a5cdff
https://doi.org/10.1109/snams.2018.8554478
https://doi.org/10.1109/snams.2018.8554478
Publikováno v:
New Generation Computing. 28:257-275
Gfarm Grid file system is a global distributed file system to share data and to support distributed data-intensive computing. It federates local file systems on compute nodes to maximize distributed file I/O bandwidth, and allows to store multiple fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19a8a30f9f62179cf4782792dcf6512f
https://doi.org/10.1007/s00354-009-0089-5
https://doi.org/10.1007/s00354-009-0089-5
Autor:
Tatebe, Osamu1 tatebe@cs.tsukuba.ac.jp, Hiraga, Kohei1 hiraga@hpcs.cs.tsukuba.ac.jp, Soda, Noriyuki2 soda@sra.co.jp
Publikováno v:
New Generation Computing. Jul2010, Vol. 28 Issue 3, p257-275. 19p.
Autor:
Liao, Jianwei, Ishikawa, Yutaka
Publikováno v:
2012 41st International Conference on Parallel Processing; 1/ 1/2012, p168-177, 10p
Autor:
F. Xhafa, A.K. Sangaiah
The rapid advance of Internet of Things (IoT) technologies has resulted in the number of IoT-connected devices growing exponentially, with billions of connected devices worldwide. While this development brings with it great opportunities for many fie
Autor:
Jesus Carretero, Sameer Shende, Javier Garcia-Blas, Ivona Brandic, Katzalin Olcoz, Martin Schreiber
The three-volume set LNCS 14801, 14802, and 14803 constitutes the proceedings of the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024, which took place in Madrid, Spain, during August 26–30, 2024. The 88 full papers