Data mining has become a well established discipline within the domain of Artificial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
Numerous Grid workflow engines exist, each generally specialized for a single application domain such as protein folding. Although the underlying purpose and functionality of the ...
Sharanya Eswaran, David Del Vecchio, Glenn S. Wass...
In this paper we propose a framework dedicated to the development and the execution of parallel applications over large scale global computing platforms. A workflow programming env...
Grid technology has evolved over the past several years to provide the services and infrastructure needed for building "virtual" systems and organizations. With this Gri...
Large scale production computing grids introduce new challenges in debugging and troubleshooting. A user that submits a workload consisting of tens of thousands of jobs to a grid ...