End-to-End Trusted Execution Environment (TEE) with Dynamic Holistic View Based Throughput Maximization Approach

Drastic progress and improvements on classical behavior modelling approaches; such as, cellular automata, chaotic systems, hierarchical block diagram modeling methods enabled to avoid of cumborsomism while adapting the dynamism at massive scale at some extend. However, persisting and ensuring the trust for varying contexts with an E2E trust mechanism require dynamic holistic views to adapt the dynamism at massive scale with extended data locality to the edges in trusted scalable manner. Initial observations for data exchange over a hybrid-cloud node, instead of cell unit scenario in 5G environment with the trust mechanism is promising to meet zero latency requirement of MEC (Multi-access/Mobile Edge Computing) edge units thanks to the improvements provided via memory-centric system design paradigms. It shows that data can be transmitted over a hybrid-cloud node rather than cell units can maximize total system throughput of emerging hybrid-clouds, which have 5/6G connectivity and strong quantum back-end units with the E2E trusted execution environment (TEE) and dynamic holistic views. By that means, it is promising to utilize MEMCA hybrid-cloud as massive scale cyber-intelligence system within the national security legal constraints with the E2E TEE, which have maximized total system through-put via dynamic holistic views of the observed chaotic context. So that, we can say that efficient utilization of MEMCA hybrid-cloud to national security systems as digital dynamics core mechanism can port the massive chaos in socio-dynamics to massive-growth via the dynamic feedback controller structures and embedded check-points to the available physical locations within the (near) real-time cyber intelligence mechanisms with maximized total system throughput values.