Functional Allocation Trades Between Hardware and Software

In DoD systems a large number of software systems are embedded in a single platform. In the proposed research the ability to determine simultaneously the optimal allocation of resources and the associated configurations for multiple hardware/software systems will be developed in the DS Toolkit. The MDO algorithms of the Toolkit enable the new developments due to their abilities to balance decisions among multiple competing objectives and constraints. New decision algorithms based on set-based design and fuzzy logic will be implemented. The probabilistic computations for robustness and reliability will be strengthened and evidence theory will be used for introducing expert opinion in the probabilistic assessments. Existing capabilities of MES in generating metamodels for scalar and time dependent performance metrics will be integrated in the Toolkit. New visualization capabilities will be developed in support of all new research. Case studies will demonstrate the work. Manuals and the source code will be delivered to the sponsor. The proposed research is aligned with several ERS objectives and will develop a unique tool for hardware/software allocation trades without duplicating existing products. The transition to DoD primes (Newport News Shipbuilding) and to DoD (US Army TARDEC, CREATE) will take place through the current utilization of the DS Toolkit by these organizations.