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Fault-tolerant computer systems / Cloud computing / Cloud infrastructure / B-tree / Apache Hadoop / Data Intensive Computing / Google File System / MapReduce / Replication / Computing / Concurrent computing / Parallel computing


Robust and Flexible Power-Proportional Storage Hrishikesh Amur† , James Cipar⋆ , Varun Gupta⋆ , Gregory R. Ganger⋆ , Michael A. Kozuch‡ , Karsten Schwan† ⋆ Carnegie Mellon University, † Georgia Institute
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Document Date: 2010-03-23 11:58:05


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Indianapolis / /

Company

Google / Intel / /

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United States / /

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pence / USD / /

Event

Reorganization / /

Facility

Carnegie Mellon University / Georgia Institute of Technology / Hadoop library / /

IndustryTerm

distributed file systems / gear groups / data-intensive computing frameworks / cluster computing / recovery groups / cluster file systems / energy consumption / arbitration algorithm / non-primary server / large file systems / secondary server / active node services / gear / meta-data server / overall cloud computing infrastructure / data-intensive computing environments / load balancing algorithms / expansion chain / file systems / cluster-based storage systems / recent cluster file systems / cloud computing / large scale file systems / nonprimary server / disk/server / recovery / energy / focused on reducing energy consumption / /

MarketIndex

Hadoop Terasort / /

NaturalFeature

Everest / /

OperatingSystem

Linux / /

Organization

Georgia Institute of Technology / Carnegie Mellon University / /

Person

Gregory R. Ganger / James Cipar / Michael A. Kozuch / Karsten Schwan / /

Position

I/O scheduler / writer / fair I/O scheduler / priority-based scheduler / scheduler / fair scheduler / Fault tolerance General / /

Product

Hadoop Terasort / BigTable / /

ProgrammingLanguage

Java / /

ProvinceOrState

Indiana / /

Technology

Xeon E5430 processors / load balancing algorithms / RAM / arbitration algorithm / load balancing / Java / Linux / simulation / Operating Systems / RAID / Gigabit Ethernet / /

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