Stochastic models for time complexity of computing tasks: II. Description of interaction with databases
- Autores: Borisov A.V.1, Ivanov A.V.1
- 
							Afiliações: 
							- Computer Science and Control Federal Research Center of Russian Academy of Sciences
 
- Edição: Nº 2 (2024)
- Páginas: 25-42
- Seção: INFORMATION PROCESSING AND IDENTIFICATION
- URL: https://rjpbr.com/0002-3388/article/view/676425
- DOI: https://doi.org/10.31857/S0002338824020032
- EDN: https://elibrary.ru/VOQZTV
- ID: 676425
Citar
Texto integral
 Acesso aberto
		                                Acesso aberto Acesso está concedido
						Acesso está concedido Acesso é pago ou somente para assinantes
		                                							Acesso é pago ou somente para assinantes
		                                					Resumo
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.
Texto integral
 
												
	                        Sobre autores
A. Borisov
Computer Science and Control Federal Research Center of Russian Academy of Sciences
							Autor responsável pela correspondência
							Email: ABorisov@frccsc.ru
				                					                																			                												                	Rússia, 							Moscow						
A. Ivanov
Computer Science and Control Federal Research Center of Russian Academy of Sciences
														Email: AIvanov@frccsc.ru
				                					                																			                												                	Rússia, 							Moscow						
Bibliografia
- 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.
Arquivos suplementares
 
				
			 
						 
						 
					 
						 
						 
									

 
  
  
  Enviar artigo por via de e-mail
			Enviar artigo por via de e-mail 



















