Launching Mvps for it Startups: Python/Django/Postgresql in Location-Tracking Applications

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dc.citation.epage5
dc.citation.issue1
dc.citation.journalTitleОбчислювальні проблеми електротехніки
dc.citation.spage1
dc.citation.volume14
dc.contributor.affiliationЛьвівський національний університет імені Івана Франка
dc.contributor.affiliationIvan Franko National University
dc.contributor.authorФранів, Володимир
dc.contributor.authorЗаставський, Святослав
dc.contributor.authorКушнір, Олег
dc.contributor.authorFraniv, Volodymyr
dc.contributor.authorZastavskyi, Sviatoslav
dc.contributor.authorKushnir, Oleh
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2025-11-04T10:18:07Z
dc.date.created2024-02-27
dc.date.issued2024-02-27
dc.description.abstractIn this study, we develop and evaluate performance of a location-tracking application built using a Python/Django/PostgreSQL stack. Through rigorous experimentation and its analysis, we scrutinize the efficiency of WebSocket connections in facilitating real-time communication and data retrieval. By comparing our findings with the previous research results available on an ASP.NET stack, we contribute to understanding of the technologies for stack selection and the strategies used for optimization of the location-tracking applications. Our results offer valuable guidance for the developers striving to create robust and scalable solutions in this burgeoning domain.
dc.format.extent1-5
dc.format.pages5
dc.identifier.citationFraniv V. Launching Mvps for it Startups: Python/Django/Postgresql in Location-Tracking Applications / Volodymyr Franiv, Sviatoslav Zastavskyi, Oleh Kushnir // Computational Problems of Electrical Engineering. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 14. — No 1. — P. 1–5.
dc.identifier.citationenFraniv V. Launching Mvps for it Startups: Python/Django/Postgresql in Location-Tracking Applications / Volodymyr Franiv, Sviatoslav Zastavskyi, Oleh Kushnir // Computational Problems of Electrical Engineering. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 14. — No 1. — P. 1–5.
dc.identifier.doidoi.org/10.23939/jcpee2024/01/001
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/117205
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofОбчислювальні проблеми електротехніки, 1 (14), 2024
dc.relation.ispartofComputational Problems of Electrical Engineering, 1 (14), 2024
dc.relation.references[1] V. Franiv, S. Vasyluk, O. Biletskyi, and I. Franiv, “An Investigation into the Efficiency of Specific Databases for Tracking Purposes in Scope of IT Startup”, in Proc. IEEE 13th Intl. Conf. on Electronics and Inf. Technol. (ELIT), pp. 186–190, Lviv, Ukraine 2023. DOI: 10.1109/ELIT61488. 2023.10310719
dc.relation.references[2] F. Ahmed, M. Phillips, S. Phillips, and K.-Y. Kim, “Comparative Study of Seamless Asset Location and Tracking Technologies”, Procedia Manu facturing, vol. 51, pp. 1138–1145, 2020. DOI: 10.1016/j.promfg.2020.10.160
dc.relation.references[3] M. Akkaya, Startup Valuation, IGI Global, pp. 137–156, 2019.
dc.relation.references[4] A. Mathur and H. Agarwal, “Study of Challenges Faced by Startup Industries”, A referred & peerre-viewed quarterly research journal, vol. 48, pp. 58-67, 2023.
dc.relation.references[5] D. Esposito, “Building Web Solutions with ASP.NET and ADO.NET”, Redmond: Microsoft Press, 2002.
dc.relation.references[6] K. Padaliya, “C# Programming with .Net Framework”, 2019.
dc.relation.references[7] W. S. Vincent, Django for APIs: Build web APIs with Python and Djang. New York, USA: WelcomeToCode, 2020.
dc.relation.references[8] S. Matam and J. Jain, Pro Apache JMeter: web application performance testing, Apress, USA, 2017.
dc.relation.references[9] C. H. Lee and Y. L. Zheng, “SQL-to-NoSQL Schema Denormalization and Migration: A Study on Content Management Systems”, in Proc. IEEE Intl. Conf. on Systems, Man, and Cybernetics (SMC), pp. 2022–2026, 2015. DOI:10.1109/SMC.2015.353
dc.relation.references[10] M. Abu Kausar, M. Nasar, and A. Soosaimanickam, “A Study of Performance and Comparison of NoSQL Databases: MongoDB, Cassandra, and Redis Using YCSB”, Indian J. Sci. Technol., vol. 15, pp. 1532-1540, 2022. DOI: 10.17485/IJST/v15i31.1352
dc.relation.references[11] J. R. Lourenco, B. Cabral, P. Carreiro, M. Vieira, and J. Bernardino, “Choosing the right NoSQL database for the job: a quality attribute evaluation”, J. Big Data, vol. 2, pp. 1–26, 2015. DOI: 10.1186/s40537-015-0025-0
dc.relation.references[12] L. Vokorokos, M. Uchnar, and L. Lescisin, “Performance optimization of applications based on non-relational databases”, in Proc. Conf. on Emerging eLearning Technol. and Appl. (ICETA), pp. 371–376, 2016. DOI: 10.1109/ICETA.2016. 7802079
dc.relation.references[13] N. Jatana, S. Puri, M. Ahuja, I. Kathuria, and D. Gosain, “A survey and comparison of relational and non-relational database”, Intl. J. Engin. Res. & Technol., vol. 1, pp. 104–118, 2012.
dc.relation.references[14] J. Han, E. Haihong, G. Le, and J. Du, “Survey on NoSQL database”, in Proc. 6th Intl. Conf. on Pervasive Comput. and Appl. (ICPCA), pp. 363–366, 2011.
dc.relation.references[15] K. Fraczek and M. Plechawska-Wojcik, “Comparative analysis of relational and non-relational databases in the context of performance in web applications”, in Proc. Conf.: Beyond Databases, Architectures and Structures, pp. 205–213, 2017.
dc.relation.references[16] S. Gupta and G. Narsimha, “Efficient Query Analysis and Performance Evaluation of the Nosql Data Store for Big Data”, in Proc. 1st Intl. Conf. on Comput. Intelligence and Informatics. Springer (Singapore), pp. 549–558, 2017.
dc.relation.references[17] K. Chodorow and M. Dirolf, MongoDB: The Definitive Guide, O’Reilly Media, 2010.
dc.relation.references[18] D. Sullivan, NoSQL for Mere Mortals, AddisonWesley, 2015.
dc.relation.references[19] E. Brewer, “CAP twelve years later: how the rules have changed”, Computer, vol. 45, pp. 23–29, 2012.
dc.relation.references[20] X. Li, Z. Ma, and H. Chen, “QODM: A queryoriented data modeling approach for NoSQL databases”, Advanced Research and Technology in Industry Applications (WARTIA), pp. 338–345, 2014.
dc.relation.references[21] Y. Li and S. Manoharan, “A performance comparison of SQL and NoSQL databases”, in Proc. IEEE Pacific Rim Conf. on Communications, Computers and Signal Processing (PACRIM), pp. 15–19, 2013.
dc.relation.referencesen[1] V. Franiv, S. Vasyluk, O. Biletskyi, and I. Franiv, "An Investigation into the Efficiency of Specific Databases for Tracking Purposes in Scope of IT Startup", in Proc. IEEE 13th Intl. Conf. on Electronics and Inf. Technol. (ELIT), pp. 186–190, Lviv, Ukraine 2023. DOI: 10.1109/ELIT61488. 2023.10310719
dc.relation.referencesen[2] F. Ahmed, M. Phillips, S. Phillips, and K.-Y. Kim, "Comparative Study of Seamless Asset Location and Tracking Technologies", Procedia Manu facturing, vol. 51, pp. 1138–1145, 2020. DOI: 10.1016/j.promfg.2020.10.160
dc.relation.referencesen[3] M. Akkaya, Startup Valuation, IGI Global, pp. 137–156, 2019.
dc.relation.referencesen[4] A. Mathur and H. Agarwal, "Study of Challenges Faced by Startup Industries", A referred & peerre-viewed quarterly research journal, vol. 48, pp. 58-67, 2023.
dc.relation.referencesen[5] D. Esposito, "Building Web Solutions with ASP.NET and ADO.NET", Redmond: Microsoft Press, 2002.
dc.relation.referencesen[6] K. Padaliya, "C# Programming with .Net Framework", 2019.
dc.relation.referencesen[7] W. S. Vincent, Django for APIs: Build web APIs with Python and Djang. New York, USA: WelcomeToCode, 2020.
dc.relation.referencesen[8] S. Matam and J. Jain, Pro Apache JMeter: web application performance testing, Apress, USA, 2017.
dc.relation.referencesen[9] C. H. Lee and Y. L. Zheng, "SQL-to-NoSQL Schema Denormalization and Migration: A Study on Content Management Systems", in Proc. IEEE Intl. Conf. on Systems, Man, and Cybernetics (SMC), pp. 2022–2026, 2015. DOI:10.1109/SMC.2015.353
dc.relation.referencesen[10] M. Abu Kausar, M. Nasar, and A. Soosaimanickam, "A Study of Performance and Comparison of NoSQL Databases: MongoDB, Cassandra, and Redis Using YCSB", Indian J. Sci. Technol., vol. 15, pp. 1532-1540, 2022. DOI: 10.17485/IJST/v15i31.1352
dc.relation.referencesen[11] J. R. Lourenco, B. Cabral, P. Carreiro, M. Vieira, and J. Bernardino, "Choosing the right NoSQL database for the job: a quality attribute evaluation", J. Big Data, vol. 2, pp. 1–26, 2015. DOI: 10.1186/s40537-015-0025-0
dc.relation.referencesen[12] L. Vokorokos, M. Uchnar, and L. Lescisin, "Performance optimization of applications based on non-relational databases", in Proc. Conf. on Emerging eLearning Technol. and Appl. (ICETA), pp. 371–376, 2016. DOI: 10.1109/ICETA.2016. 7802079
dc.relation.referencesen[13] N. Jatana, S. Puri, M. Ahuja, I. Kathuria, and D. Gosain, "A survey and comparison of relational and non-relational database", Intl. J. Engin. Res. & Technol., vol. 1, pp. 104–118, 2012.
dc.relation.referencesen[14] J. Han, E. Haihong, G. Le, and J. Du, "Survey on NoSQL database", in Proc. 6th Intl. Conf. on Pervasive Comput. and Appl. (ICPCA), pp. 363–366, 2011.
dc.relation.referencesen[15] K. Fraczek and M. Plechawska-Wojcik, "Comparative analysis of relational and non-relational databases in the context of performance in web applications", in Proc. Conf., Beyond Databases, Architectures and Structures, pp. 205–213, 2017.
dc.relation.referencesen[16] S. Gupta and G. Narsimha, "Efficient Query Analysis and Performance Evaluation of the Nosql Data Store for Big Data", in Proc. 1st Intl. Conf. on Comput. Intelligence and Informatics. Springer (Singapore), pp. 549–558, 2017.
dc.relation.referencesen[17] K. Chodorow and M. Dirolf, MongoDB: The Definitive Guide, O’Reilly Media, 2010.
dc.relation.referencesen[18] D. Sullivan, NoSQL for Mere Mortals, AddisonWesley, 2015.
dc.relation.referencesen[19] E. Brewer, "CAP twelve years later: how the rules have changed", Computer, vol. 45, pp. 23–29, 2012.
dc.relation.referencesen[20] X. Li, Z. Ma, and H. Chen, "QODM: A queryoriented data modeling approach for NoSQL databases", Advanced Research and Technology in Industry Applications (WARTIA), pp. 338–345, 2014.
dc.relation.referencesen[21] Y. Li and S. Manoharan, "A performance comparison of SQL and NoSQL databases", in Proc. IEEE Pacific Rim Conf. on Communications, Computers and Signal Processing (PACRIM), pp. 15–19, 2013.
dc.rights.holder© Національний університет “Львівська політехніка”, 2024
dc.subjectsoftware development
dc.subjectlocation tracking
dc.subjectPython
dc.subjectDjango
dc.subjectPostgreSQL
dc.subjectASP.NET
dc.subjectWebSocket
dc.subjectHTTP
dc.titleLaunching Mvps for it Startups: Python/Django/Postgresql in Location-Tracking Applications
dc.title.alternativeМінімально життєздатні продукти для ІТ-стартапів: використання Python/Django/ Postgresql у програмних додатках відстеження місцезнаходження
dc.typeArticle

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Computational Problems Of Electrical Engineering. – 2024. – Vol. 14, No. 1