A Collaborative Working Environment for a Large Scale Environmental Model

Authors:
Cihan Sahin;Christian Weihrauch;Ivan T. Dimov;Vassil N. Alexandrov
Affiliations:
Centre for Advanced Computing and Emerging Technologies, University of Reading, Reading, RG2 7HA;Centre for Advanced Computing and Emerging Technologies, University of Reading, Reading, RG2 7HA;Centre for Advanced Computing and Emerging Technologies, University of Reading, Reading, RG2 7HA;Centre for Advanced Computing and Emerging Technologies, University of Reading, Reading, RG2 7HA
Venue:
Large-Scale Scientific Computing
Year:
2009

Citing 4
Cited 0

Parallel runs of a large air pollution model on a grid of Sun computers

Mathematics and Computers in Simulation
The Anatomy of the Grid: Enabling Scalable Virtual Organizations

International Journal of High Performance Computing Applications
Monte Carlo methods for matrix computations on the grid

Future Generation Computer Systems
Globus toolkit version 4: software for service-oriented systems

NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Large scientific applications are usually developed, tested and used by a group of geographically dispersed scientists. The problems associated with the remote development and data sharing could be tackled by using collaborative working environments. There are various tools and software to create collaborative working environments. Some software frameworks, currently available, use these tools and software to enable remote job submission and file transfer on top of existing grid infrastructures. However, for many large scientific applications, further efforts need to be put to prepare a framework which offers application-centric facilities. Unified Air Pollution Model (UNI-DEM), developed by Danish Environmental Research Institute, is an example of a large scientific application which is in a continuous development and experimenting process by different institutes in Europe.This paper intends to design a collaborative distributed computing environment for UNI-DEM in particular but the framework proposed may also fit to many large scientific applications as well.