NDLI: Exascale Storage Systems the SIRIUS Way

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Exascale Storage Systems the SIRIUS Way

Content Provider	Scilit
Author	Klasky, S. A. Abbasi, H. Ainsworth, M. Choi, J. Curry, M. Kurc, T. Liu, Q. Lofstead, J. Maltzahn, C. Parashar, M. Podhorszki, N. Suchyta, E. Wang, F. Wolf, M. Chang, C. S. Churchill, M. Ethier, S.
Copyright Year	2016
Description	Journal: Journal of Physics: Conference Series As the exascale computing age emerges, data related issues are becoming critical factors that determine how and where we do computing. Popular approaches used by traditional I/O solution and storage libraries become increasingly bottlenecked due to their assumptions about data movement, re-organization, and storage. While, new technologies, such as "burst buffers", can help address some of the short-term performance issues, it is essential that we reexamine the underlying storage and I/O infrastructure to effectively support requirements and challenges at exascale and beyond. In this paper we present a new approach to the exascale Storage System and I/O (SSIO), which is based on allowing users to inject application knowledge into the system and leverage this knowledge to better manage, store, and access large data volumes so as to minimize the time to scientific insights. Central to our approach is the distinction between the data, metadata, and the knowledge contained therein, transferred from the user to the system by describing "utility" of data as it ages.
Related Links	http://iopscience.iop.org/article/10.1088/1742-6596/759/1/012095/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/759/1/012095
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	759
Language	English
Publisher	IOP Publishing
Publisher Date	2016-10-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Cybernetical Science Exascale Storage System
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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