METHODS FOR INTEGRATING INFORMATION EXCHANGE BETWEEN CORPORATE SYSTEMS

Mualliflar

  • Askaraliev O.

    Tashkent university of information technologies named after of Mukhammad al-Kharezmiy

  • Madaminov Sh.

    Tashkent university of information technologies named after of Mukhammad al-Kharezmiy

Kalit so‘zlar: integratsiya, avtomatlashtirilgan axborot tizimi, universal ma’lumotlar analizatori, qaror qabul qilish moduli, ma’lumotlar integratsiyasiga yondashuvlar

Annotatsiya

Fan va texnika sohasida integratsiyalashgan oʻzaro axborot almashinuvini tashkil etishning yagona standartlashtirilgan algoritmi hozirgacha ishlab chiqilmagan. Ushbu maqolada integratsiya masalalari tahlil qilinadi va oʻrganadi. Jarayonlar davomida ba’zi integratsiyalashning qonuniyatlari aniqlandi va koʻrsatilgan masalalarni yechish uchun yondashuv tanlandi. Ushbu yondashuv turli tizimlar oʻrtasida oʻzaro ma’lumot almashish imkoniyatini yaratdi.

Foydalanilgan adabiyotlar

1. Schmarzo B. Big Data: Understanding How Data Powers Big Business / Bill Schmarzo. Hoboken, NJ : Wiley, 2013. –P. 240.

2. Saidov A., Mirboboev M., Almetov Sh., Ganieva N., Boboqulov I. “Bojxona organlarining axborot tizimlari asoslari” – I tom. –Toshkent: 2016. 421-b.

3. Askaraliev O.U., Malikova N.T., Naim N.A., Sharma Sh., Chohan Zh., Kumar R., Singh S. Intelligent Decision Support Systems in Integrated Management Systems – A Novel Multicriteria Computational Control System. Advancements in Civil Engineering & Technology, AIP Conference Proceedings 2558, 020001 (2023). 03 February 2023. https://doi.org/10.1063/5.0121301.

4. Осипов Д.С., Грошев Ф.В. О скорости передачи данных в одной системе множественного доступа. // Информационно-управляющие системы. 2012. № 1. -С. 67-75.

5. Vikulov E.O., Denisov O.V., Denisova L.A. Data distribution system preparation of server stations data Journal of Physics: Conference Series, 2018.

6. NGINX: Advanced Load Balancer, Web Server, & Reverse Proxy [Электронный ресурс] URL: https://www.nginx.com (дата обращения: 23.09.2023).

7. Hastie T., Tibshirani R., Friedman J. H. The elements of statistical learning: Data mining, inference, and prediction. -New York: Springer Verlag, 2001.

8. MATLAB Makers of Matlab and Simulink. [Электронный ресурс] URL: http://www.mathworks.com (дата обращения:12.11.2023).

11. Ghomi E.J., Rahmani A.M., Qader N.N. Load-balancing algorithms in cloud computing: A survey // Journal of Network and Computer Applications. 2017.