Abstract:

In this paper we approach how to load and dynamic allocation of the resources of a complex system by modeling of the behavioral state of a system that has of “m resources, that can be monitored at any time, and which depending of their percent of loading may lead towards a operating state. This state of   operation of a system can fit or not in some optimal operating parameters definitions. Thus the system will have the possibility to learn from the anterior experience and to make a more accurate forecast of the future behavioral states. The modality of supplementing and accessing with another unit a certain resource leads to a release of the processes that occur in the moment of an additional requests but and to a functioning in normal parameters of the system. This leads to a balancing of the resources depending on the needs that a system may have at some point. Also, the modality of signaling and monitoring of the future need that that the system has is new by indicating the number of units with which must be supplemented the resources Rj to function in optimal parameters. In conclusion, whether the supplementation is made from the available resources from the physical abstraction, or by adding hardware, the system will be functional and will permanently signalize its operational state.