Data management is growing in complexity as large-scale applications take advantage of
the loosely coupled resources brought together by grid middleware and by abundant …

Abstract Software Component Frameworks are well known in the commercial business
application world and now this technology is being explored with great interest as a way to …

The purpose of this paper is to demonstrate the design and implementation of GISolve-a grid-
based problem solving environment for computationally intensive geographic information …

In a problem solving environment (PSE), a scientific workflow management system (SWMS)
provides a meta environment for managing activities and data in scientific experiments, for …

As grid computing technologies and infrastructures are being developed, suitable
abstractions, methods, and tools will become necessary to enable application development …

In mesoscale meteorology, the quantity of information has increased significantly due to
sophisticated data distribution schemes combined with developments in sensors and …

We present Quantify, a programming framework for exposing high-performance parallel MPI
applications using Grid Services. The two distinctive programming styles of Grid Services …

Abstract Service integration, the ultimate goal of Shanghai Grid, has created a necessity for
more efficient and effective workflow infrastructure. Workflow design tool is one core …

Abstract Air Quality Forecasting (AQF) is a new computational discipline that attempts to
predict atmospheric pollution, especially high levels of ozone. The application is complex …

This thesis proposes JavaSymphony, a novel programming paradigm for wide classes of
heterogeneous systems ranging from small-scale cluster computing to large scale wide area …