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ESCIENCE
2007
IEEE
14 years 3 months ago
GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials
In this paper, we describe an analysis tool based on the statistical environment R, GridR, which allows using the collection of methodologies available as R packages in a grid env...
Dennis Wegener, Thierry Sengstag, Stelios Sfakiana...
HPDC
2002
IEEE
14 years 1 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
GRID
2006
Springer
13 years 8 months ago
How are Real Grids Used? The Analysis of Four Grid Traces and Its Implications
The Grid computing vision promises to provide the needed platform for a new and more demanding range of applications. For this promise to become true, a number of hurdles, includin...
Alexandru Iosup, Catalin Dumitrescu, Dick H. J. Ep...
MSS
2003
IEEE
108views Hardware» more  MSS 2003»
14 years 1 months ago
Effective Management of Hierarchical Storage Using Two Levels of Data Clustering
When data resides on tertiary storage, clustering is the key to achieving high retrieval performance. However, a straightforward approach to clustering massive amounts of data on ...
Ratko Orlandic
HPDC
2008
IEEE
14 years 3 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton