Model of DBMS for the information of the air situation for problems with a wide range of input data of the air defense forces

N.S. Dudakov; P.А. Morozov; S.А. Putyato; S.V. Yakubovskiy

Model of DBMS for the information of the air situation for problems with a wide range of input data of the air defense forces

N.S. Dudakov¹, P.А. Morozov², S.А. Putyato³, S.V. Yakubovskiy⁴

research article UDC 623.618.3 Pages: 19-24

^1,3 Head of Department, Group of Companies «RTI» (Moscow)
² Ph.D. (Mil.), Associate Professor, Yaroslavl Higher Military School of Air Defense
⁴ Dr.Sc. (Eng.), Associate Professor, Head of Department, Central Science Institute of Aerospace Defense (Moscow)

Keywords: database management systems command and control systems air defense systems

Abstract

A model of the real-time storage management system is described. The shortcomings of modern database management systems are shown when processing data with a high update and access rate corresponding to real-time tasks. A distributed architecture of database management systems with full replication and a method for optimizing the structure of stored data are proposed.

How to cite

Дудаков Н.С., Морозов П.А., Путято С.А., Якубовский С.В. Модель системы управления хранением данных о воздушной обстановке при решении высокодинамичных задач автоматизации управления силами авиации и ПВО // Успехи современной радиоэлектроники. 2017. № 11. С. 19–24.

References

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[1] Jagol'nikov S.V. Protivoudarnye jeshelony // Voenno-promyshlennyj kur'er. 2016. № 21.

[2] Andreev V.N. 5 jetapov razvitija ASU // Vozdushno-kosmicheskaja oborona. 2011. № 2.

[3] Rahmanov A.A., Menjachihin A.I. Vazhnejshij jelement VKO // Vozdushno-kosmicheskaja oborona. 2013. № 2.

[4] Kuznecov S.D. Osnovy sovremennyh baz dannyh / Internet-universitet informacionnyh tehnologij. 2007.

[5] Dejt K.Dzh. Vvedenie v sistemy baz dannyh. M.: Vil'jams. 2001.

[6] Dokumentacija po BD SQLite. Http://www.sqlite.org.

[7] Rahimi H., Parand F., Riahi D. Hierarchical simultaneous vertical fragmentation and allocation using modified Bond Energy Algorithm in distributed databases // Applied Computing and Informatics. Https://doi.org/10.1016/j.aci.2015.03.001.

[8] Boros, E., Peter L. Hammer Pseudo-Boolean Optimization // Discrete Applied Mathematics. 2002. V. 123. P. 155–225.

[9] Een N. Translating Pseudo-Boolean Constraints into SAT / Niklas Een, Niklas Sorensson // Journal on Satisfiability, Boolean Modeling and Computation. V. 2. Delft: Delft University of Technology. 2006. P. 1–26.

[10] The SAT Competition. Http://www.satcompetition.org.

Abstract

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