Brainit: A Generic IT Core Mechanism for Continuous Growth-Flow in Dynamic Chaotic Context

Abstract

Brain CAPEX (Capital Expenses) is for free to the human being but the OPEX (Operational Expenses) is not. Since, the fluctuations on critical nutrition for brain makes it complicated to grow via optimal path as continues progress due to the chaotic OPEX changes. Fortunately, intelligent systems are able to adapt the change dynamically up to varying chaotic context, by keeping trustworthiness of the whole system via available distributed resources and algorithms. However, increasing number of nodes in the system inflates complexity of swarm behavior due to computation and memory limitations. Drastic progress saved in the emerging edge devices, can enable to produce innovative trusted AI/ML algorithms at run-time, which can help to make massive analytics at the edge nodes in (near) real time. In spite of this, keeping the system resilient require real-time updates in different system layers. As another critical milestone, increased scalability and faster in memory processing speed can be accomplished via big data technologies and ledger base chained structures in some manner. In order to keep high performance of the total system, mission/safety/operation critical applications require to be verified by critical check-points. Thereby, end-to-end trust mechanism and swarm controller methods can improve trusted scalability of the intelligent systems analytical functions and resources. So that, the dynamic holistic views can ensure trustworthiness in chaotic context with the brainIT generic IT core mechanism for continuous growth in massive-chaos, which ensures to keep local/global legal constraints-based risk minimization via 5G connected hybrid-cloud systems within the observed socio-dynamic parameters with minimized optimal OPEX costs. © 2025 Elsevier B.V., All rights reserved.