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	MANAGEMENT SYSTEM FOR SCALABLE GEOGRAPHICALLY DISTRIBUTED DATA CENTER</div>

Sergey E. Khoruzhnikov, Andrey Ye. Shevel

doi:10.17586/2226-1494-2019-19-5-931-938

2019 , VOLUME 19, NUMBER 5 ( september-october )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

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Nikiforov
Vladimir O.
D.Sc., Prof.

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doi: 10.17586/2226-1494-2019-19-5-931-938

MANAGEMENT SYSTEM FOR SCALABLE GEOGRAPHICALLY DISTRIBUTED DATA CENTER

S. E. Khoruzhnikov, A. Y. Shevel

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Article in Russian

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Khoruzhnikov S.E., Shevel A.Ye. Management system for scalable geographically distributed data center. Scientiﬁc and Technical Journal of Information Technologies, Mechanics and Optics, 2019, vol. 19, no. 5, pp. 931–938 (in Russian). doi: 10.17586/2226-1494-2019-19-5-931-938

Abstract

Subject of Research. The paper presents results of the management system development for a scalable geographically distributed data center. Special attention is paid to system versatility in view of new tasks, resource efﬁciency, operational reliability in the conditions of system component failures, and information access security. Method. An approach based on technologies of software-conﬁgured infrastructures was used. The technical solutions of the created software components were implemented on the basis of free and open source software. Quantum communication technologies at the side frequencies were used for protection of the data links between the local data processing centers as part of a scalable geographically distributed data center. The components of the developed integrated management system were implemented in the form of software agents running in an operating-isolated environment. Main Results. The hardware-software complex has been created, functioning according to the “Infrastructure as a Service” model. Experimental studies of the integrated management system were carried out on a prototype of a scalable geographically distributed data center built together with the SMARTS Ltd company (the city of Samara). These studies have shown the feasibility and high efﬁciency of the designed solutions meeting the technical requirements for the development. Practical Relevance. The considered hardware-software complex can be used in the formation or modiﬁcation of a scalable geographically distributed data center primarily by government organizations, since it is an indigenous Russian technology without applying borrowed proprietary software. The system components can be used in the development of private cloud infrastructure.

Keywords: software-conﬁgured networks, Network Functions Virtualization, data center, program agent, quantum key distribution, software-conﬁgured storage, OpenStack, Ceph

Acknowledgements. The research has been carried out with the ﬁnancial support of the Ministry of Science and Higher Education of the Russian Federation under grant agreement No.03.G25.31.0229.

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