Users of distributed systems such as the TeraGrid and Open Science Grid can execute their applications on many different systems. We wish to help such users, or the grid scheduler...
Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...
Distributed computing on heterogeneous nodes, or grid computing, provides a substantial increase in computational power available for many applications. This paper reports our expe...
Fabric is a new system and language for building secure distributed information systems. It is a decentralized system that allows heterogeneous network nodes to securely share bot...
Jed Liu, Michael D. George, K. Vikram, Xin Qi, Luc...
We investigate runtime strategies for data-intensive applications that involve generalized reductions on large, distributed datasets. Our set of strategies includes replicated fi...