Modeling the Operation of an Adaptive Computing System Based on FGPN for Case Risk Management

Abstract

The article discusses problems of case risk management modeling using an example of an adaptive heterogeneous computer system. Existing approaches to complex system modeling, as a rule, do not allow modeling of systems that operate under risk conditions and are able to adapt to occurring risk events. An approach based on nested Petri nets is proposed (growing Petri nets). Growing Petri nets provide an opportunity to simulate the system operation in case of risk occurrence. An example of a growing Petri net for an adaptive computing system is given.