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CLUSTER
2009
IEEE
14 years 3 months ago
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...
ER
2007
Springer
107views Database» more  ER 2007»
14 years 3 months ago
A Conceptual Framework to Support Semantic Interoperability of Geospatial Datacubes
Today, we observe a wide use of geospatial databases that are implemented in many forms (e.g. transactional centralized systems, distributed databases, multidimensional datacubes)....
Tarek Sboui, Yvan Bédard, Jean Brodeur, Thi...
WEBDB
2004
Springer
100views Database» more  WEBDB 2004»
14 years 2 months ago
Spam, Damn Spam, and Statistics: Using Statistical Analysis to Locate Spam Web Pages
The increasing importance of search engines to commercial web sites has given rise to a phenomenon we call “web spam”, that is, web pages that exist only to mislead search eng...
Dennis Fetterly, Mark Manasse, Marc Najork
PDIS
1993
IEEE
14 years 1 months ago
Nested Loops Revisited
The research communityhas considered hash-based parallel joinalgorithmsthe algorithmsof choice for almosta decade. However, almostnone ofthe commercialparallel database systems us...
David J. DeWitt, Jeffrey F. Naughton, Joseph Burge...
CCGRID
2005
IEEE
14 years 2 months ago
A batch scheduler with high level components
In this article we present the design choices and the evaluation of a batch scheduler for large clusters, named OAR. This batch scheduler is based upon an original design that emp...
Nicolas Capit, Georges Da Costa, Yiannis Georgiou,...