Viability theory
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Verification and validation of simulation models
WSC '05 Proceedings of the 37th conference on Winter simulation
Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR
International Journal of High Performance Computing Applications
Workflows and e-Science: An overview of workflow system features and capabilities
Future Generation Computer Systems
Design of experiments: overview
Proceedings of the 40th Conference on Winter Simulation
Using clouds to provide grids with higher levels of abstraction and explicit support for usage modes
Concurrency and Computation: Practice & Experience - A Special Issue from the Open Grid Forum
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
P-GRADE Portal: A generic workflow system to support user communities
Future Generation Computer Systems
An agent-based approach to global uncertainty and sensitivity analysis
Computers & Geosciences
Concurrency and Computation: Practice & Experience
Bayesian network structure learning from limited datasets through graph evolution
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
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Complex-systems describe multiple levels of collective structure and organization. In such systems, the emergence of global behaviour from local interactions is generally studied through large scale experiments on numerical models. This analysis generates important computation loads which require the use of multi-core servers, clusters or grid computing. Dealing with such large scale executions is especially challenging for modellers who do not possess the theoretical and methodological skills required to take advantage of high performance computing environments. That is why we have designed a cloud approach for model experimentation. This approach has been implemented in OpenMOLE (Open MOdeL Experiment) as a Domain Specific Language (DSL) that leverages the naturally parallel aspect of model experiments. The OpenMOLE DSL has been designed to explore user-supplied models. It delegates transparently their numerous executions to remote execution environment. From a user perspective, those environments are viewed as services providing computing power, therefore no technical detail is ever exposed. This paper presents the OpenMOLE DSL through the example of a toy model exploration and through the automated calibration of a real-world complex-system model in the field of geography.