Condor-G: A Computation Management Agent for Multi-Institutional Grids
Cluster Computing
Fault-Tolerance, Malleability and Migration for Divide-and-Conquer Applications on the Grid
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
The MyProxy online credential repository: Research Articles
Software—Practice & Experience - Grid Security
The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment
International Journal of High Performance Computing Applications
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Porting of scientific applications to Grid Computing on GridWay
Scientific Programming - Dynamic Grids and Worldwide Computing
Distributed and dynamic self-scheduling of parallel MPI Grid applications: Research Articles
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing: A “Possible Future”
A Grid-based Virtual Reactor: Parallel performance and adaptive load balancing
Journal of Parallel and Distributed Computing
TPNC'12 Proceedings of the First international conference on Theory and Practice of Natural Computing
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We present the living application, a method to autonomously manage applications on the grid. During its execution on the grid, the living application makes choices on the resources to use in order to complete its tasks. These choices can be based on the internal state, or on autonomously acquired knowledge from external sensors. By giving limited user capabilities to a living application, the living application is able to port itself from one resource topology to another. The application performs these actions at run-time without depending on users or external workflow tools. We have applied this new concept in a special case of a living application: the living simulation. Today, many simulations require a wide range of numerical solvers and run most efficiently if specialized nodes are matched to the solvers. The idea of the living simulation is that it decides itself which grid machines to use based on the numerical solver currently in use.