Intelligent support in making technical decisions in the enterprise information infrastructure


Zakirova A.B. Basinya E.A. Kantureyeva M.A. Akhmetova A.Z. Akhayeva Z.B.
15 July 2021Little Lion Scientific

Journal of Theoretical and Applied Information Technology
2021#99Issue 133144 - 3154 pp.

Today, intelligent information technology can act as a catalyst for the development of almost all areas of society. The article discusses the current state of affairs in the field of management and maintenance of the information infrastructure of the enterprise. The problems of system and network administration of technical objects and systems are described. The shortcomings of the existing systems of intellectual support for engineers involved in their support are described. The method of providing intellectual support when making technical decisions in the enterprises information infrastructure, operating on the basis of the TCP / IP protocol stack and the operating systems of the Windows and Linux family, is submitted for review. The scientific novelty of the proposed solution lies in the intellectual support in making technical and managerial decisions based on previous experience and the ability to predict the state of the system. Unlike existing approaches, safe forecasting of the reaction of a technical object to certain external, internal or local influences and changes, including those set forth in a declarative form, is provided. The continuous operation of the object during its research and forecasting with the possibility of applying influences / changes to the real system with successful iterative testing is ensured. Optional parallelization of testing and research processes in an isolated and safe environment is performed. The knowledge base of system and network administration of the enterprise information infrastructure is being formed, which allows solving complex and complex incidents. These provisions are achieved by creating many model objects in stealth mode (for example, by a volume shadow copy service) in an isolated environment based on the ESXI hypervisor with virtual segmentation of VLAN traffic and technology for automatic deployment and configuration of user and server solutions (including Ansible). The method is integrated with the previously developed by the author system of intellectual adaptive management of the enterprise information infrastructure.

Automation Of System And Network Administration , Cloning , Feedback , Forecasting , Hypervisor , Intellectual Support , Intelligent Adaptive Management , Knowledge Base , Model Objects , Shadow Copying

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L.N. Gumilyov Eurasian National University, Department of Information Systems, Astana, Kazakhstan
Novosibirsk State Technical University, Department of Automation, Novosibirsk, Russian Federation

L.N. Gumilyov Eurasian National University
Novosibirsk State Technical University

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