A load balancing module for post-emergency management
We propose a model for the optimal allocation of entities to a number of resources. The proposed model can be used either for indoor or for outdoor scenarios. It provides post-emergency services to field commanders and rescue teams. We adopt a pool of predictors for estimating the load of each resource. The model is based on the solution provided for the Santa-Fe Bar Problem.
load balancing emergency management prediction