Adaptive mesh refinement (AMR) is a numerical simulation technique used in computational fluid dynamics (CFD). By using a set of nested grids of different resolutions, AMR combine...
Gunther H. Weber, Oliver Kreylos, Terry J. Ligocki...
Construction activities take place in what can be called a dynamic virtual organization (VO). VOs require a secure, reliable, scalable information infrastructure that allows collab...
Grid computing provides key infrastructure for distributed problem solving in dynamic virtual organizations. It has been adopted by many scientific projects, and industrial intere...
Jim Blythe, Ewa Deelman, Yolanda Gil, Carl Kesselm...
Grid computing is the future computing paradigm for enterprise applications. An enterprise application running on a grid is composed of a set of SLA-constrained sub-tasks demandin...
Grid technology has been widely used for large-scale computational problems, but it also provides a framework for running a big number of smallsized processes. Moreover, these proc...
Grid computing gives users access to widely distributed networks of computing resources to solve large-scale tasks such as scientific computation. These tasks are defined as stand...
Jim Blythe, Ewa Deelman, Yolanda Gil, Carl Kesselm...
The accelerated development in grid computing has positioned it as a promising next generation computing platform. It enables the creation of virtual organizations (VO) for sharin...
Arshad Ali, Fawad Nazir, Hamid Abbas Burki, Tallat...
Our research aims to further our understanding of Information Retrieval for management of knowledge within the Grid environment. We do so by developing a search and categorisation...
Babak Akhgar, Nahum Korda, Jawed I. A. Siddiqi, Me...
: In this paper we propose a Grid Workflow Infrastructure, which serves as the base for specifying and executing collaborative interactive workflows within computational grids. The...
Grid computing promises to become the future computing paradigm for enterprise application after having shown to be a quite effective computing paradigm for resource-intensive sci...