We describe a system for aggregating heterogeneous resources from distinct administrative domains into an enterprise-wide compute grid, such that the aggregated resource provides ...
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...
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Data streaming management and scheduling is required by many grid computing applications, especially when the volume of data to be processed is extremely high while available stor...
In this paper, we present an algorithm for scheduling of distributed data intensive Bag-of-Task applications on Data Grids that have costs associated with requesting, transferring ...