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Parallel computing / Cloud infrastructure / Cloud computing / Apache Hadoop / Hadoop / Network file systems / Parallel Virtual File System / Google File System / Filesystem in Userspace / Computing / Concurrent computing / Software


Mixing Hadoop and HPC Workloads on Parallel Filesystems Esteban Molina-Estolano1 , Maya Gokhale2 , Carlos Maltzahn1 , John May2 , John Bent3 , and Scott Brandt1 1 2
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Document Date: 2009-11-13 17:23:02


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File Size: 120,29 KB

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Portland / /

Company

Amazon / Google / Lawrence Livermore National Laboratory / UC Santa Cruz Lawrence Livermore National Laboratory / Intel / /

Country

United States / /

Currency

USD / /

Facility

LANL/UCSC Institute / POSIX-like C++ library / /

IndustryTerm

Particular storage systems / parallel high-performance computing / simplified data processing / internet services / system call tracing tools / Data-intensive file systems / interconnection network / parallel high-performance computing filesystems / metadata server / unreliable commodity hardware / /

MarketIndex

IOR / HPC / /

MusicAlbum

I/O / /

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mount CloudStore / /

OperatingSystem

Linux / POSIX / /

Organization

U.S. Department of Energy / UCSC Systems Research Lab / USENIX Association / LANL/UCSC Institute for Scalable Scientific Data Management / /

Person

Wittawat Tantisiriroj / Sanjay Ghemawat / Robert B. Ross / John May / Swapnil Patil / Howard Gobioff / Shun-Tak Leung / Greg Ganger / Sriram S. Rao / Rajeev Thakur / Tina Eliassi-Rad / Darrell D. E. Long / Sage Weil / Brian Gallagher / Garth Gibson / Jeffrey Dean / Carlos Maltzahn / Ethan L. Miller / Philip H. Carns / Iii / Scott A. Brandt / /

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single writer / representative / /

Product

Hadoop PVFS / CloudStore / Hadoop / /

ProgrammingLanguage

Java / C++ / /

ProvinceOrState

Manitoba / /

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alpha / Linux / API / Operating Systems / Java / HTTP / simulation / Gigabit Ethernet / /

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http /

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