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Large-scale data-intensive streaming applications in various science fields feature complex DAG-structured workflows comprised of distributed computing modules with intricate inter-module dependencies. Supporting such workflows in high-performance network environments and optimizing their throughput are crucial to collaborative scientific exploration and discovery. We formulate workflow mapping as...
An integrated strategy coupling GIS with two-dimension hydrodynamic model is explored to simulate the flooding inundation in the upper reaches of Huangpu River. DEM data, hydraulic engineering map and other available geospatial data are used and aid to generate the computational grid, while, some treatments of interior and exterior boundary conditions, and calculations of variable resistance terms...
A middleware named EnGrid for distributed computing has been developed. The EnGrid employs the notion of pure peer-to-peer (P2P) for ease of use, not for sharing computer resources across the world as in conventional P2P. We have also developed three PSE systems on EnGrid for civil engineering applications: parameter sweep system for finite element method (FEM), parameter optimization system for FEM,...
The complexity of the hep detectors for LHC (CMS tracker has more than 50 millions of electronic channels) the large number of people in charge of it (more than 100 people from 10 labs distributed worldwide) and the availability of the grid computing environment require novel ways to visualize data coming from detector for use in online monitoring. We suggest here an approach that takes advantage...
To best exploit the potential of the grid, it is necessary to "grid-enable" legacy applications that were not originally developed to run on a grid. In this paper, a generic framework to grid-enable legacy applications is presented. In particular, this paper focuses on a general approach to model and represent an application in a way that is supportive of the key properties of the grid-enabling...
We present a description of our ongoing efforts to develop a chemistry grid portal by utilizing core grid technologies for computational chemistry and molecular science applications. The portal aims to provide the Australian computational chemistry and molecular science community a uniform and integrated user interface for scientists to access and execute distributed applications through a conventional...
As the amount of scientific information available to researchers increases, the challenge of sifting through the information to find what is truly important to their work increases, as well. In this paper we describe ScienceSifter, a tool that addresses this challenge by enabling groups of researchers and channel editors to create and customize information feeds. Using ScienceSifter, users can combine...
Recent work by the `CombeChem' project together with the UK National Crystallography Service (NCS) has integrated the NCS into an e-Science environment. The existing high-throughput crystallography facility is enhanced by on-line feedback with the ability to monitor and steer diffraction experiments remotely. Security mechanisms are used to determine authorisation attributes and hence to allow user...
To visualize satellite remote sensing data on a 2-dimensional plane, irregularly-spaced measurements must be registered onto a user-defined raster grid. There are several simple ways to do this, including the nearest-neighbor sampling and bilinear interpolation method. However, none of these methods make use of satellite scan geometry information nor do they take the footprint size into account. This...
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