G-Rex is light-weight Java middleware that allows scientific applications deployed on remote computer systems to be launched and controlled as if they are running on the user's own computer. G-Rex is particularly suited to ocean and climate modelling applications because output from the model is transferred back to the user while the run is in progress, which prevents the accumulation of large amounts of data on the remote cluster. The G-Rex server is a RESTful Web application that runs inside a servlet container on the remote system, and the client component is a Java command line program that can easily be incorporated into existing scientific work-flow scripts. The NEMO and POLCOMS ocean models have been deployed as G-Rex services in ...
This paper describes how grids and grid service technologies can be used to develop an infrastructur...
In numerous scientific disciplines, terabyte and soon petabyte-scale data collections are emerging a...
We describe a web services system for managing scientific simulation metadata. We show how the use o...
Compute grids are used widely in many areas of environmental science, but there has been limited upt...
Compute grids are used widely in many areas of environmental science, but there has been limited upt...
Within the EU IS-ENES project, the deployment of an e-infrastructure providing climate scientists wi...
We introduce GRPC4BMI, a software package that exposes earth system models (ESM) as remote services,...
Abstract. In this paper we discuss the development of a high performance climate modeling system as ...
Weather forecasts and climate projections are of tremendous importance for economical and societal r...
The GENIE project aims to deliver a Grid-based, modular, distributed and scalable Earth System Model...
The Computational Grid [1] is a promising platform for running large scale scientic applications. It...
Also available as INRIA Research Report 6027Among existing grid middleware approaches, one simple, p...
The Espresso Scientific Modeling Interface (Espresso) is a scientific modeling productivity tool dev...
The Geoscience Network (GEON) project is a collaborative effort among numerous institutions to creat...
The Earth System Grid (ESG) II project, funded by the Department of Energy’s Scientific Discovery th...
This paper describes how grids and grid service technologies can be used to develop an infrastructur...
In numerous scientific disciplines, terabyte and soon petabyte-scale data collections are emerging a...
We describe a web services system for managing scientific simulation metadata. We show how the use o...
Compute grids are used widely in many areas of environmental science, but there has been limited upt...
Compute grids are used widely in many areas of environmental science, but there has been limited upt...
Within the EU IS-ENES project, the deployment of an e-infrastructure providing climate scientists wi...
We introduce GRPC4BMI, a software package that exposes earth system models (ESM) as remote services,...
Abstract. In this paper we discuss the development of a high performance climate modeling system as ...
Weather forecasts and climate projections are of tremendous importance for economical and societal r...
The GENIE project aims to deliver a Grid-based, modular, distributed and scalable Earth System Model...
The Computational Grid [1] is a promising platform for running large scale scientic applications. It...
Also available as INRIA Research Report 6027Among existing grid middleware approaches, one simple, p...
The Espresso Scientific Modeling Interface (Espresso) is a scientific modeling productivity tool dev...
The Geoscience Network (GEON) project is a collaborative effort among numerous institutions to creat...
The Earth System Grid (ESG) II project, funded by the Department of Energy’s Scientific Discovery th...
This paper describes how grids and grid service technologies can be used to develop an infrastructur...
In numerous scientific disciplines, terabyte and soon petabyte-scale data collections are emerging a...
We describe a web services system for managing scientific simulation metadata. We show how the use o...