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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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.

References
1. Smirnova O. Current Grid operation and future role of the Grid. Journal of Physics: Conference Series, vol. 396, no. 4, pp. 042055. doi:10.1088/1742-6596/396/4/042055
2. Siqi J., Baochun L. Wide area analytics for geographically distributed datacenters. Available at: https://ieeexplore.ieee. org/abstract/document/7442496 (accessed: 06.03.2019). doi: 10.1109/TST.2016.7442496
3. Bleikertz S., Kurmus A., Nagy Z.A., Schunter M. Secure Cloud Maintenance: Protecting workloads against insider attacks. ASIACCS ‘12 Proc. of the 7th ACM Symposium on Information, Computer and Communications Security, 2012, pp. 83–84. doi:10.1145/2414456.2414505
4. Fedchenkov P.V., Khoruzhnikov S.E., Samokhin N.Y., Shevel A.Y. The designing of cloud infrastructure consisting of geographically distributed data centers. Proc. of the VIII International Conference «Distributed Computing and Grid- technologies in Science and Education» (GRID 2018), Dubna, Moscow region, Russia, 2018, pp. 32–36. Available at: http:// ceur-ws.org/Vol-2267/32-36-paper-5.pdf (accessed: 06.03.2019).
5. Cox J.H., JR., Chung J., Donovan S., Ivey J., Clark R.J., Riley G., Owen H.L. Advancing Software-Defined Networks: A Survey. IEEE Access, 2017, vol. 5, pp. 25487–25526. doi: 10.1109/ACCESS.2017.2762291
6. Carlson M., Yoder A., Schoeb L., Deel D., Pratt C., Lionetti C., Voigt D. Software Defined Storage. Available at: https:// www.snia.org/sites/default/files/SNIA_Software_Defined_ Storage_%20White_Paper_v1.pdf
(accessed: 09.02.2018).
7. The State of Software-Defined Storage, Hyperconverged and Cloud Storage. Sixth annual market survey. Available at: https:// www.datacore.com/document/state-of-sds-hci-cloud-storage- sixth-annual (accessed: 05.03.2019).
8. Morris K. Infrastructure as Code: Managing Servers in the Cloud. O’Reilly Media, 2016, 362 p.
9. Gleim A.V., Egorov V.I., Nazarov Y.V., Smirnov S.V., Chistyakov V.V., Bannik O.I., Anisimov A.A., Kynev S.M., Ivanova A.E., Collins R.J., Kozlov S.A., Buller G.S. Secure polarization-independent subcarrier quantum key distribution in optical fiber channel using BB84 protocol with a strong reference. Optics express, 2016, vol. 24, no. 3, pp. 2619–2633. doi: 10.1364/OE.24.002619
10. RED HAT CEPH STORAGE An open, software-defined storage platform for the cloud. Available at: https://www.redhat.com/cms/ managed-files/st-ceph-3.2-datasheet-f15488wg-201901-en.pdf (accessed: 06.03.2019).
11. Gleǐm, A.V., Chistyakov V.V., Bannik O.I., Egorov V.I., Buldakov N.V., Vasilev A.B., Gaǐdash A.A., Kozubov A.V., Smirnov S.V., Kynev S.M., Khoruzhnikov S.É., Kozlov S.A., Vasil’ev V.N. Sideband quantum communication at 1 Mbit/s on a metropolitan area network. // Journal of Optical Technology, 2017, vol. 84, no. 6, pp. 362–367. doi: 10.1364/JOT.84.000362
 


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