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» Distributed data mining in grid computing environments
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GRID
2006
Springer
15 years 2 months ago
Grid Deployment of Legacy Bioinformatics Applications with Transparent Data Access
Although grid computing offers great potential for executing large-scale bioinformatics applications, practical deployment is constrained by legacy interfaces. Most widely deployed...
Christophe Blanchet, Rémi Mollon, Douglas T...
GRID
2006
Springer
15 years 2 months ago
Simultaneous Scheduling of Replication and Computation for Data-Intensive Applications on the Grid
One of the first motivations of using grids comes from applications managing large data sets in field such as high energy physics or life sciences. To improve the global throughput...
Frederic Desprez, Antoine Vernois
CORR
2008
Springer
185views Education» more  CORR 2008»
15 years 2 months ago
Realizing Fast, Scalable and Reliable Scientific Computations in Grid Environments
The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often invo...
Yong Zhao, Ioan Raicu, Ian T. Foster, Mihael Hateg...
GRID
2006
Springer
15 years 2 months ago
Snapshot Processing in Streaming Environments
Monitoring and correlation of streaming data from multiple sources is becoming increasingly important in many application areas. Example applications include automated commodities...
Daniel M. Zimmerman, K. Mani Chandy