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Positioning Dynamic Storage Caches for Transient Data
2006
2006 IEEE International Conference on Cluster Computing
Simulations, experiments and observatories are generating a deluge of scientific data. Even more staggering is the ever growing application demand to process and assimilate these datasets. Application users perform a range of data operations, collaborate and share data in many novel ways. The current storage landscape is struggling to keep up with these trends in scientific data processing. Application users pay the price due to over-crowded shared filesystems, or expensive storage area
doi:10.1109/clustr.2006.311900
dblp:conf/cluster/VazhkudaiTMF06
fatcat:crlajnv54rf3jjfhkbbgrtp4se