When designing SAMGrid, a project for distributing high-energy physics computations on a grid, we discovered that it was challenging to decide where to place user's jobs. Job...
A. Baranovski, Gabriele Garzoglio, Igor Terekhov, ...
A key challenge in supporting data-driven scientific applications is the storage and management of input and output data in a distributed environment. In this paper, we describe a...
Stephen Langella, Shannon Hastings, Scott Oster, T...
Abstract. Scientists increasingly rely on workflow management systems to perform large-scale computational scientific experiments. These systems often collect provenance informatio...
Luiz M. R. Gadelha Jr., Marta Mattoso, Michael Wil...
Grid computing provides a very rich environment for scientific calculations. In addition to the challenges it provides, it also offers new opportunities for optimization. In this ...
Bingchen Li, Kang Chen, Zhiteng Huang, H. L. Rajic...
Virtual laboratories can be characterized by their long-lasting, large-scale computations, where a collection of heterogeneous tools is integrated into data processing pipelines. S...