Abstract | ||
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Nowadays, there are two main approaches for dealing with data-intensive applications: parallel file systems in classical High-Performance Computing (HPC) centers and Big Data like parallel file system for ensuring the data centric vision. Furthermore, there is a growing overlap between HPC and Big Data applications, given that Big Data paradigm is a growing consumer of HPC resources. HDFS is one o... |
Year | DOI | Venue |
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2020 | 10.1109/HiPC50609.2020.00038 | 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC) |
Keywords | DocType | ISSN |
File systems,High performance computing,Conferences,Big Data applications | Conference | 1094-7256 |
ISBN | Citations | PageRank |
978-1-6654-2292-5 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jose Rivadeneira | 1 | 0 | 0.34 |
Felix Garcia-Carballeira | 2 | 112 | 11.32 |
Jesus Carretero | 3 | 239 | 29.04 |
Javier García | 4 | 47 | 9.85 |