38

Ushbu maqolada banklardagi “cloud” virtual ma’lumotlar markazining xususiyatlarini hisoblash va tahlil qilish, hamda bulutli ma’lumotlarga ishlov berish markazi modeli tanlangan, modellashtirilgan va ko‘rib chiqilgan. Bulutli ma’lumotlarga ishlov berish markazlarining asosiy xarakteristikalari optimallashtirmasdan o‘tkazilgan tajribalar asosida aniqlandi. Olingan ma’lumotlar tegishli jadvallarda qayd etilgan, jadvallardagi ma’lumotlarni tasdiqlaydigan rasmlar ham ilova qilingan.

  • O'qishlar soni 38
  • Nashr sanasi 05-07-2024
  • Asosiy tilO'zbek
  • Sahifalar523-532
Ўзбек

Ushbu maqolada banklardagi “cloud” virtual ma’lumotlar markazining xususiyatlarini hisoblash va tahlil qilish, hamda bulutli ma’lumotlarga ishlov berish markazi modeli tanlangan, modellashtirilgan va ko‘rib chiqilgan. Bulutli ma’lumotlarga ishlov berish markazlarining asosiy xarakteristikalari optimallashtirmasdan o‘tkazilgan tajribalar asosida aniqlandi. Olingan ma’lumotlar tegishli jadvallarda qayd etilgan, jadvallardagi ma’lumotlarni tasdiqlaydigan rasmlar ham ilova qilingan.

Русский

В этой статье рассматриваются расчеты и анализ характеристик виртуального центра обработки данных “Cloud” в банках, а также выбор, моделирование и обзор модели облачного центра обработки данных. Основные характеристики облачных центров обработки данных были определены на основе экспериментов, проведенных без оптимизации. Полученные данные фиксируются в соответствующих таблицах, также прилагаются чертежи, подтверждающие данные в таблицах

English

This article discusses the calculations and analysis of the characteristics of the “Cloud” virtual data center in banks, as well as the selection, modeling and review of the cloud data center model. The main characteristics of cloud data centers were determined based on experiments conducted without optimization. The data obtained are recorded in the corresponding tables, and drawings confirming the data in the tables are also attached

Havola nomi
1 F. Ma, F. Liu, Z. Liu, Distributed Load Balancing Allocation of Virtual Machine in Cloud Data Center // IEEE 3rd International Conference on Software Engineering and Service Science, 2012, pp. 20-23
2 V. Belogrudov, Tenant Behaviour-driven Scheduler in OpenStack Cloud // Cork Institute of Technology, Department of Computing, 2013.
3 J. Hu, J. Gu, G. Sun, T. Zhao, A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment // 3rd International Symposium on Parallel Architecture, Algorithms and Programming (PAAP), 2010, pp. 89-96.
4 R. Ghosh, V.K. Naik, Predictive Analysis for Resource Over-commit in IaaS Cloud // IEEE 5th International Conference on Cloud Computing, 2012, pp. 25-32.
5 C.L. Hwang, K. Yoon, Multiple attributes decision-making methods and applications: a state of the art Survey // Springer-Verlag, New York, 1981.
6 Djurayev R. X., Baltayev J. B., Xasanov O. A. Increasing the efficiency of diagnosing microprocessor devices based on multichannel signal analysis means //2020 International Conference on Information Science and Communications Technologies (ICISCT). – IEEE, 2020. – С. 1-4.
7 Djuraev R. X., Djabbarov S. Y., Baltaev J. B. Sistemi texnicheskogo obslujivaniya i ekspluatatsii setey telekommunikatsii //Uchebnik.-T.:“Aloqachi. – 2019. – Т. 234.
8 Djuraev R. H., Djabbarov S. Y., Baltayev J. B. Raqamli tizimlarning texnik diagnostikasi //Darslik).-T.:«Aloqachi. – 2020. – Т. 232.
Kutilmoqda