Dynamic Distribution of an Entity-based Simulation

We consider simulations constituted by numerous entities which evolve and interact dynamically. To be able to rep- resent a significant problem as an ecosystem, the modeliza- tion must be distributed. We are in front of a problem where the processes must obtain resources in a dynami- cally changing environment and be designed to collabo- rate despite of a variety of asynchronous and unpredictable changes. In such a context, applications are computational ecosystems analogous to biological ecosystems and human economies. This analogy suggests to tackle the problem as a complex system, in particular for the emergent aspects and the self-organization. Thus we detect organizations by an ant algorithm which allows to take into account the dy- namic side, load balancing of the processes and minimiza- tion of the impact of the communications between them. This has been tested successfully on a modelization of a very simple aquatic ecosystem where organizations appear, evolve and disappear.