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    HPCA
    2002
    IEEE
    152views Distributed And Parallel Com...» more  HPCA 2002»
    Exploiting Choice in Resizable Cache Design to Optimize Deep-Submicron Processor Energy-Delay
    14 years 9 months ago
    Exploiting Choice in Resizable Cache Design to Optimize Deep-Submicron Processor Energy-Delay
    Download  www.ece.cmu.edu
    Cache memories account for a significant fraction of a chip's overall energy dissipation. Recent research advocates using "resizable" caches to exploit cache requir...
    Se-Hyun Yang, Michael D. Powell, Babak Falsafi, T....
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    STOC
    2001
    ACM
    104views Algorithms» more  STOC 2001»
    Spatial gossip and resource location protocols
    14 years 9 months ago
    Spatial gossip and resource location protocols
    Download  my.fit.edu
    The dynamic behavior of a network in which information is changing continuously over time requires robust and efficient mechanisms for keeping nodes updated about new information. ...
    David Kempe, Jon M. Kleinberg, Alan J. Demers
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    OSDI
    2008
    ACM
    178views Operating System» more  OSDI 2008»
    On the Impact of Disk Scrubbing on Energy Savings
    14 years 9 months ago
    On the Impact of Disk Scrubbing on Energy Savings
    Download  people.cs.vt.edu
    The increasing use of computers for saving valuable data imposes stringent reliability constraints on storage systems. Reliability improvement via use of redundancy is a common pr...
    Guanying Wang, Ali Raza Butt, Chris Gniady
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    SIGMOD
    2009
    ACM
    202views Database» more  SIGMOD 2009»
    A comparison of flexible schemas for software as a service
    14 years 9 months ago
    A comparison of flexible schemas for software as a service
    Download  www-db.in.tum.de
    A multi-tenant database system for Software as a Service (SaaS) should offer schemas that are flexible in that they can be extended for different versions of the application and d...
    Stefan Aulbach, Dean Jacobs, Alfons Kemper, Michae...
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    SIGMOD
    2009
    ACM
    171views Database» more  SIGMOD 2009»
    GAMPS: compressing multi sensor data by grouping and amplitude scaling
    14 years 9 months ago
    GAMPS: compressing multi sensor data by grouping and amplitude scaling
    Download  research.microsoft.com
    We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
    Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
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