THE META MODEL CONSTRAINT REMOVAL PROTOCOL: VIRTUAL REALITY FAIRNESS FOR WAR GAME NETWORKED EXERCISE

Virtual Reality is defined as the process of turning an event into a reality by creating the illusionary effects necessary to make a person believe the event is occumng. In War Games such as ARPA’s STOW(Synthetic Theatre Of War) Program the virtual reality of the interaction or completion of the exercises within the games can be described by the congestion controlled fairness criteria for the Sub Game Perfect Theory equilibrium points, analogous to the computer networking power point. This operating point criteria for removing constraints at the conclusion of exercises allows the Lagrangian optimization to continue unconstrained minimization of delay for the platform terminal protocols. The Meta Model Constraint RemovJ(MMCR) Protocol was developed to enable access of Silicon Graphics Computer Network platforms to perform War Game Exercises with the Defense Simulation Intemetwork(DS1) ST(Sueam) Protocol or the Intemetwork RSVP Protocol. The internal section of the MMCR Protocol utilizes latency and capacity measurements coordinated with computer networking fairness, wavelet theory decision tree performance evaluation, fractal data compression theory and Category theory admissibility and construction specifications to enable the operation of this virtual overlay protocol with Strategic Game theory, and Minimax and Maximin Game Theory. The outer section of the MMCR Protocol begins at the input to the VR Data Glove with the Two Person Zero Sum Game Theory and concludes with the subgame perfect theory at the VR Data Glove Output. L OVERVIEW OF IMGTAMODELMEAWREMENT OF PERFORM~NCE REQUIREMEN% CONCEPT THEORY FOR THE SDI NTB Referring to Figure 1, the META MODEL [26] Stratagic Defense Initiative Organization software protocol theory for National Test Bed simulation decided which modules are running on which processors and the connectivity between the analyzer resources. Using neural network stress control theory[27], the META MODEL leamed from the multiple NTB simulation executions[26] to compute an estimate of the resources available during different time frames connected with different topological sections of the simulation, by monitoring the results of the simulation from the running time measurements of the simulation. Therefore, the META MODEL determined the resources to formalize the simulation goals achieved by monitoring network information measures during running time for information storage, and time complexity measurement optimization. This operation of the Distributed Simulation also required the provision of inputs to the neural networking protocol architecture to observe run times to perform predictions based on this run time. The META MODEL simulated the real and artificial simulation of the SDS system, performing capacity planning by illustrating the effects of the simulation modules I