A worldwide flock of Condors: load sharing among workstation clusters
Future Generation Computer Systems - Special issue: resource management in distributed systems
Condor-G: A Computation Management Agent for Multi-Institutional Grids
Cluster Computing
Architectural Models for Resource Management in the Grid
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Adaptive Computing on the Grid Using AppLeS
IEEE Transactions on Parallel and Distributed Systems
A Performance Oriented Migration Framework For The Grid
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Nomadic Migration: A New Tool for Dynamic Grid Computing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
A framework for adaptive execution in grids
Software—Practice & Experience
Execution of Typical Scientific Applications on Globus-Based Grids
ISPDC '04 Proceedings of the Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks
The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment
International Journal of High Performance Computing Applications
The Virtual Instrument: Support for Grid-Enabled Mcell Simulations
International Journal of High Performance Computing Applications
Scientific Programming
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Impact cratering is an important geological process of special interest in Astrobiology. Its numerical simulation comprises the execution of a high number of tasks, since the search space of input parameter values includes the projectile diameter, the water depth and the impactor velocity. Furthermore, the execution time of each task is not uniform because of the different numerical properties of each experimental configuration. Grid technology is a promising platform to execute this kind of applications, since it provides the end user with a performance much higher than that achievable on any single organization. However, the scheduling of each task on a Grid involves challenging issues due to the unpredictable and heterogeneous behavior of both the Grid and the numerical code. This paper evaluates the performance of a Grid infrastructure based on the Globus toolkit and the GridWay framework, which provides the adaptive and fault tolerance functionality required to harness Grid resources, in the simulation of the impact cratering process. The experiments have been performed on a testbed composed of resources shared by five sites interconnected by RedIRIS, the Spanish Research and Education Network.