Realistic workloads are essential in evaluating middleware for computational grids. One important component is the raw grid itself: a network topology graph annotated with the har...
We describe MW – a software framework that allows users to quickly and easily parallelize scientific computations using the master-worker paradigm on the computationalgrid. MW ...
Jean-Pierre Goux, Sanjeev Kulkarni, Jeff Linderoth...
Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distribute...
The Semantic Grid aims at enhancing Grid architectures by knowledge engineering techniques. The service notion is central in this approach. Service-level agreements, called contrac...
Grid Portals, based on standard web technologies, are emerging as important and useful user interfaces to computational and data Grids. Grid Portals enable Virtual Organizations, c...
Michael Russell, Gabrielle Allen, Greg Daues, Ian ...