High-performance computing increasingly occurs on "computational grids" composed of heterogeneous and geographically distributed systems of computers, networks, and stor...
While the Grid and Web Services have helped us support heterogeneous resource access through the use of service oriented architectures, they have not addressed the issue of hetero...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Data access latency is an important metric of system performance in data grid. By means of efficient replication strategy, the amount of data transferred in wide area network will ...
The description, composition, and execution of even logically simple scientific workflows are often complicated by the need to deal with "messy" issues like heterogeneou...
Yong Zhao, James E. Dobson, Ian T. Foster, Luc Mor...