Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the ...
We present a study of six batch-pipelined scientific workloads that are candidates for execution on computational grids. Whereas other studies focus on the behavior of single app...
Douglas Thain, John Bent, Andrea C. Arpaci-Dusseau...
Today’s cluster and grid environments demand the usage of product-specific APIs and tools for developing distributed applications. We give an overview of the Distributed Resour...
In this paper, we propose a novel resource scheduling strategy, referred to as the Multi-Resource Scheduling (MRS) algorithm, which is capable of handling several resources to be u...
Benjamin Khoo Boon Tat, Bharadwaj Veeravalli, Tere...
The current status of High Energy Physics (HEP) computing system and plan of HEP data grid in Korea are reported. The main infrastructure is located at the Center for High Energy ...