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

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dc.contributor.authorAgca, Muhammed Akif
dc.date.accessioned2026-01-31T15:08:10Z
dc.date.available2026-01-31T15:08:10Z
dc.date.issued2025
dc.departmentİstanbul Beykent Üniversitesi
dc.description11th International Conference on Computational Science and Computational Intelligence-CSCI -- DEC 11-13, 2024 -- Las Vegas, NV
dc.description.abstractBrain 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.
dc.identifier.doi10.1007/978-3-031-99586-6_11
dc.identifier.endpage131
dc.identifier.isbn9783031995880
dc.identifier.isbn9783031995866
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.scopus2-s2.0-105018303380
dc.identifier.scopusqualityQ3
dc.identifier.startpage126
dc.identifier.urihttps://doi.org./10.1007/978-3-031-99586-6_11
dc.identifier.urihttps://hdl.handle.net/20.500.12662/10608
dc.identifier.volume2512
dc.identifier.wosWOS:001597199300011
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer International Publishing Ag
dc.relation.ispartofComputational Science And Computational Intelligence, Csci 2024, Pt Xii
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260128
dc.subjectDistributed Computing
dc.subjectTrusted AI/ML
dc.subjectQuantum Systems
dc.subjectHybrid-Cloud
dc.subject5/6G
dc.titlebrainIT: A Generic IT Core Mechanism for Continuous Growth-Flow in Dynamic Chaotic Context
dc.typeConference Object

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