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...
Grid computing has become very popular in big and widespread scientific communities with high computing demands, like high energy physics. Computing resources are being distribute...
Igor Sfiligoi, Daniel C. Bradley, Burt Holzman, Pa...
Efficient data access is one way of improving the performance of the Data Grid. In order to speed up the data access and reduce bandwidth consumption, Data Grid replicates essenti...
Security-sensitive applications that access and generate large data sets are emerging in various areas such as bioinformatics and high energy physics. Data grids provide data-inte...
In this article we introduce a grid runtime system called TGrid which is designed to run hierarchically structured task-parallel programs on heterogenous environments and can also...