This paper gives an overview of two middleware systems that have been developed over the last 6 years to address the challenges involved in developing parallel and distributed imp...
Grid computing promises the ability to share geographically and organizationally distributed resources to increase effective computational power and resource utilization. However,...
Youn-Seok Kim, Jung-Lok Yu, Jae-Gyoon Hahm, Jinsoo...
In the grid architecture, a grid workflow system is a type of high-level grid middleware which is supposed to support modelling, redesign and execution of large-scale sophisticate...
Data sharing is one of the most important research areas in data grid. Distributed data resource and heterogeneous data schema bring difficulties to data Access and sharing. This ...
We have designed a maximum likelihood fitter using the actor model to distribute the computation over a heterogeneous network. The prototype implementation uses the SALSA program...
Wei-Jen Wang, Kaoutar El Maghraoui, John Cummings,...