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SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
15 years 8 months ago
Ricardo: integrating R and Hadoop
Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...
114
Voted
ICDE
2006
IEEE
134views Database» more  ICDE 2006»
15 years 9 months ago
Three Case Studies of Large-Scale Data Flows
We survey three examples of large-scale scientific workflows that we are working with at Cornell: the Arecibo sky survey, the CLEO high-energy particle physics experiment, and t...
William Y. Arms, Selcuk Aya, Manuel Calimlim, Jim ...
152
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DBISP2P
2003
Springer
152views Database» more  DBISP2P 2003»
15 years 8 months ago
An Adaptive and Scalable Middleware for Distributed Indexing of Data Streams
Abstract. We are witnessing a dramatic increase in the use of datacentric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and various ...
Ahmet Bulut, Roman Vitenberg, Fatih Emekçi,...
138
Voted
NAR
2006
177views more  NAR 2006»
15 years 3 months ago
PUMA2 - grid-based high-throughput analysis of genomes and metabolic pathways
The PUMA2 system (available at http://compbio.mcs. 10 anl.gov/puma2) is an interactive, integrated bioinformatics environment for high-throughput genetic sequence analysis and met...
Natalia Maltsev, Elizabeth M. Glass, Dinanath Sula...
119
Voted
HPDC
1999
IEEE
15 years 7 months ago
Resource Co-Allocation in Computational Grids
Applications designed to execute on "computational grids" frequently require the simultaneous co-allocation of multiple resources in order to meet performance requiremen...
Karl Czajkowski, Ian T. Foster, Carl Kesselman