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DAOS and Friends: A Proposal for an Exascale Storage System
The DOE Extreme-Scale Technology Acceleration Fast Forward Storage and IO Stack project is going to have significant impact on storage …
Jay Lofstead
,
Ivo Jimenez
,
Carlos Maltzahn
,
Quincey Koziol
,
John Bent
,
Eric Barton
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Automatic and transparent I/O optimization with storage integrated application runtime support
Traditionally storage has not been part of a programming model’s semantics and is added only as an I/O library interface. As a …
Noah Watkins
,
Zhihao Jia
,
Galen Shipman
,
Carlos Maltzahn
,
Alex Aiken
,
Pat McCormick
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Project
An Innovative Storage Stack Addressing Extreme Scale Platforms and Big Data Applications
Jay Lofstead
,
Ivo Jimenez
,
Carlos Maltzahn
,
Quincey Koziol
,
John Bent
,
Eric Barton
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Exploring Trade-offs in Transactional Parallel Data Movement
Ivo Jimenez
,
Carlos Maltzahn
,
Jai Dayal
,
Jay Lofstead
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Latency Minimization in SSD Clusters for Free
Dimitris Skourtis
,
Noah Watkins
,
Dimitris Achlioptas
,
Carlos Maltzahn
,
Scott Brandt
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Modeling a Leadership-scale Storage System
Exascale supercomputers will have the potential for billion-way parallelism. While physical implementations of these systems are …
Ning Liu
,
Christopher Carothers
,
Jason Cope
,
Philip Carns
,
Robert Ross
,
Adam Crume
,
Carlos Maltzahn
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Project
PLFS and HDFS: Enabling Parallel Filesystem Semantics In The Cloud
Esteban Molina-Estolan, John Bent Milo Polte
,
Garth Gibson
,
Carlos Maltzahn
,
Maya B. Gokhale
,
Scott Brandt
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Ceph as a Scalable Alternative to the Hadoop Distributed File System
The Hadoop Distributed File System (HDFS) has a single metadata server that sets a hard limit on its maximum size. Ceph, a …
Carlos Maltzahn
,
Esteban Molina-Estolano
,
Amandeep Khurana
,
Alex J. Nelson
,
Scott A. Brandt
,
Sage A. Weil
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Ceph: A Scalable, High-Performance Distributed File System
provides excellent performance, reliability, and scalability. Ceph maximizes the separation between data and metadata management by …
Sage A. Weil
,
Scott A. Brandt
,
Ethan L. Miller
,
Darrell D. E. Long
,
Carlos Maltzahn
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CRUSH: Controlled, Scalable, Decentralized Placement of Replicated Data
Emerging large-scale distributed storage systems are faced with the task of distributing petabytes of data among tens or hundreds of …
Sage A. Weil
,
Scott A. Brandt
,
Ethan L. Miller
,
Carlos Maltzahn
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