ANALYSIS AND DATA PROCESSING SYSTEMS

Abstract
The paper presents the architecture of the relational database management system (DBMS), which is oriented to the integration in the on-board software of ultra-small space vehicles. The proposed architecture has low requirements for the power of the computing system and memory resources on board. Some features of DBMS operation with a multilevel memory structure are considered. The components of the physical structure of the database are identified.Well-known access methods are analyzedin terms of their use for solving the problem of designing an onboard DBMS, an estimation of their labor intensity is carried out. Analysis of the listed access methods shows that the most appropriate conditions for the task are the binary aligned tree method for accessing the primary, unique, or foreign key. In order to reduce the amount of memory used, it is suggested that you do not need to index the foreign key and perform a search for the record when checking the referential integrity by sequentially viewing the table. To store data in a database, a format was developed that describes the physical structure of the database, which contains the parameters necessary for loading information. Access to data by the key value is based on the algorithm for traversing the binary tree. Experiments on the implementation of the developed database were conducted in the Microsoft Visual Studio Community programming system with the possibility of cross-platform transfer of the executable code. In addition, the possibility of implementing a DBMS as a mobile application in the operating systems Android and iOS was considered.

References
1. Nazarov L.E., Golovkin I.V. [The use of signal-code structures such as turbo codes in on-board systems for collecting and transmitting information of remote sensing data]. Vtoraya otkrytaya vserossiiskaya konferentsiya "Sovremennye problemy distantsionnogo zondirovaniya zemli iz kosmosa" [The second open All-Russian conference "Modern problems of remote sensing of the earth from space"]. Moscow, 2014, p. 98. (In Russian) 2. Makridenko L.A., Volkov S.N., Khodnenko V.P., Zolotoi S.A. Kontseptual'nye voprosy sozdaniya i primeneniya malykh kosmicheskikh apparatov [Conceptual issues of creation and application of small space vehicles]. Voprosy elektromekhaniki. Trudy VNIIEM – Electromechanical matters. VNIIEM studies, 2010, vol. 114, no. 1, pp. 15–26. 3. Belous A.I., Solodukha V.A., Shvedov S.V. Kosmicheskaya elektronika. V 2 kn. Kn. 1 [Space electronics. In 2 bk. Bk. 1]. Moscow, Tekhnosfera Publ., 2015. 696 p. 4. Zlobin V.K., Kolesenkov A.N., Kostrov B.V. Korrelyatsionno-ekstremal'nye metody sovmeshcheniya aerokosmicheskikh izobrazhenii [Correlation-extreme methods of space images combination]. Vestnik Ryazanskogo gosudarstvennogo radiotekhnicheskogo universiteta – Vestnik of Ryazan State Radio Engineering University, 2011, no. 3 (37), pp. 12–17. 5. Kolesenkov A.N., Konkin Yu.V. Modelirovanie neironnykh setei dlya prognozirovaniya vremennykh ryadov [Modeling of neural networks for time series prediction]. Dinamika slozhnykh sistem – XXI vek – Dynamics of difficult systems, 2015, vol. 9, no. 3, pp. 10–13. 6. Kolesenkov A.N. Tekhnologiya podderzhki prinyatiya upravlencheskikh reshenii na osnove operativnogo monitoringa pozharnoi obstanovki [Technology of support management decisions based monitoring of fire situation]. Izvestiya Tul'skogo gosudarstvennogo universiteta. Tekhnicheskie nauki – News of the Tula state university. Technical sciences, 2015, iss. 9, pp. 157–163. 7. Konkin Yu.V., Kolesenkov A.N. Raspoznavanie izobrazhenii na osnove teksturnykh priznakov kharalika i iskusstvennykh neironnykh setei [Image recognition based on the textural features of aralica and artificial neural networks]. Izvestiya Tul'skogo gosudarstvennogo universiteta. Tekhnicheskie nauki – News of the Tula state university. Technical sciences, 2016, iss. 2, pp. 117–123. 8. Kolesenkov A.N., Tsegel'nik D.V. [Cataloguing system of geographic data and satellite imagery]. Novye informatsionnye tekhnologii v nauchnykh issledovaniyakh: materialy XXI Vserossiiskoi nauchno-tekhnicheskoi konferentsii studentov, molodykh uchenykh i spetsialistov [New information technologies in scientific research: proceedings of the XXI of all-Russian scientific and technical conference of students, young scientists and specialists]. Ryazan', 2016, p. 289. (In Russian) 9. Babaev S.I., Baranchikov A.I., Grinchenko N.N., Kolesenkov A.N., Loginov A.A. The directions for collaborate usage of flight apparatus technical vision system information and electronic cartography. 5th Mediterranean Conference on Embedded Computing, MECO 2016. Piscataway, NJ, IEEE, 2016, pp. 153–157. 10. Taganov A.I., Kolesenkov A.N. [Modern methods of geoinformation systems satellite monitoring of emergencies]. Fundamental'nye i prikladnye kosmicheskie issledovaniya: XIII konferentsiya molodykh uchenykh [Basic and applied space research: XIII International Conference of young scientists: proceedings]. Moscow, 2016, pp. 137–142. (In Russian) 11. Kostrov B.V., Konkin Yu.V. Tekhnologiya sovmeshcheniya radiolokatsionnykh izobrazhenii mestnosti [Technology of combining radar imagery]. Proektirovanie i tekhnologiya elektronnykh sredstv – Design and technology of electronic means, 2007, no. 1, pp. 29–32. 12. Kostrov B.V., Konkin Yu.V. Algoritmicheskoe obespechenie sistemy avtonomnoi korrektsii pogreshnostei navigatsionnoi sistemy manevrennykh letatel'nykh apparatov [Algorithmic support system of autonomous navigation system error correction maneuvering aircraft]. Tsifrovaya obrabotka signalov – Digital Signal Processing, 2007, no. 3, pp. 37–40. 13. Konkin Yu.V. [A database management system for aircraft navigating complexes]. Problemy peredachi i obrabotki informatsii v setyakh i sistemakh telekommunikatsii: tezisy dokladov 14-i mezhdunarodnoi nauchno-tekhnicheskoi konferentsii [Problems of Data Transmission and Processing Over Communication Systems: theses of the reports of the 14th international scientific and technical conference]. Ryazan', 2005, pp. 240–241. (In Russian) 14. Date C.J. An introduction to database systems. Reading, MA, Addison-Wesley, 2000 (Russ. ed.: Deit K. Vvedenie v sistemy baz dannykh. Translated from English. 7^th ed. Moscow, Vil'yams Publ., 2002. 1072 p.). 15. Teorey T.J., Fry J.P. Design of database structures. Englewood Cliffs, NJ, Prentice-Hall, 1982 (Russ. ed.: Tiori T., Frai Dzh. Proektirovanie struktur baz dannykh. V 2 kn. Kn. 1. Translated from English. Moscow, Mir Publ., 1985. 287 p.). 16. Tsapko G.P., Martynov Ya.A. Edinaya informatsionnaya sreda sozdaniya i soprovozhdeniya bortovogo programmnogo obespecheniya sputnikov navigatsii i svyazi [Integrated information environment for creation and maintenance of on-board software of navigation and communication satellites]. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki – Proceedings of Tomsk State University of Control Systems and Radioelectronics, 2015, no. 3 (37), pp. 97–102. 17. Kondratev K.A., Shumakov N.N., Koltashev A.A. Algoritmy dispetcherizatsii vychislenii i ikh primenenie v bortovom programmnom obespechenii sputnikov svyazi i navigatsii [Computing algorithms dispatching and use in navigation and communication satellites on-board software]. Vestnik SibGAU, 2010, no. 3 (29), pp. 119–121. 18. Antamoshkin A.H., Koltashev A.A. Tekhnologicheskie aspekty sozdaniya bortovogo programmnogo obespecheniya sputnikov svyazi [Software engineering aspects for communication satellite design]. Vestnik SibGAU, 2005, no. 3, pp. 93–95. 19. Barkov A.V., Koltashev A.A., Timiskov M.V., Shumakov N.N. Tekhnologiya sozdaniya programmnykh modelei bortovykh komp'yuterov sputnikov [The technology of creation program models of satellite's onboard computers]. Naukoemkie tekhnologii – Science Intensive Technologies, 2014, vol. 15, no. 9, pp. 34–38.