Stochastic models for time complexity of computing tasks: II. Description of interaction with databases
- 作者: Borisov A.V.1, Ivanov A.V.1
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隶属关系:
- Computer Science and Control Federal Research Center of Russian Academy of Sciences
- 期: 编号 2 (2024)
- 页面: 25-42
- 栏目: INFORMATION PROCESSING AND IDENTIFICATION
- URL: https://permmedjournal.ru/0002-3388/article/view/676425
- DOI: https://doi.org/10.31857/S0002338824020032
- EDN: https://elibrary.ru/VOQZTV
- ID: 676425
如何引用文章
详细
The paper contains the second part of an investigation devoted to the design of the mathematical models for the execution time of user tasks carried out on the virtual calculating nodes. We provide the performance of the proposed model for the description of the data processing fulfilled in the databases. As a testbed for stress testing, we choose a prototype of the anonymization system of the passengers’ personal data. There are stochastic models describing two types of user tasks: personal data anonymization procedure and calculation of the sample statistical characteristics. The paper contains a detailed description of the stress test planning and fulfillment for both models. The obtained mathematical models developed by the real data demonstrate high performance.
全文:

作者简介
A. Borisov
Computer Science and Control Federal Research Center of Russian Academy of Sciences
编辑信件的主要联系方式.
Email: ABorisov@frccsc.ru
俄罗斯联邦, Moscow
A. Ivanov
Computer Science and Control Federal Research Center of Russian Academy of Sciences
Email: AIvanov@frccsc.ru
俄罗斯联邦, Moscow
参考
- Борисов А., Иванов А. Стохастическое модели трудоемкости вычислительных задач. I. Принципы формирования, сбор статистических данных, задачи идентификации // Изв. РАН. ТиСУ. № 1. С. 22–34.
- Борисов А., Босов А., Иванов А. Применение имитационного компьютерного моделирования к задаче обезличивания персональных данных. Модель и алгоритм обезличивания методом синтеза // Программирование. 2023. № 5. C. 19–34.
- Lagarias, J., Reeds J., Wright M., Wright P. Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions // SIAM Journal of Optimization. 1998. V. 9. Iss. 1. P. 112–147.
- Себер Дж. Линейный регрессионный анализ. М.: Мир, 1980. 456 с.
- https://wiki.astralinux.ru/kb/minimal-nye-i-rekomenduemye-sistemnye-trebovaniya-dlya-os-187796554.html.
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