Zobrazeno 1 - 10
of 802
pro vyhledávání: '"A. Tchernykh"'
Autor:
F. Armenta-Cano, A. Tchernykh, J. M. Cortés-Mendoza, R. Yahyapour, A. Yu. Drozdov, P. Bouvry, D. Kliazovich, A. I. Avetisyan, S. Nesmachnow
Publikováno v:
Труды Института системного программирования РАН, Vol 27, Iss 6, Pp 355-380 (2018)
In this paper, we address power aware online scheduling of jobs with resource contention. We propose an optimization model and present new approach to resource allocation with job concentration taking into account types of applications. Heterogeneous
Externí odkaz:
https://doaj.org/article/4684cde1efc34398bf8e5bcc668891a1
Publikováno v:
Труды Института системного программирования РАН, Vol 27, Iss 6, Pp 199-224 (2018)
In this paper, we address the performance evaluation of multi-tier clouds applications, and compare a Real-Time Calculus-based framework with two classical analytical approaches such as queuing theoretic approaches and control theoretic approaches. W
Externí odkaz:
https://doaj.org/article/cd62445ad2ee47e9b38903a332da4f65
Publikováno v:
IEEE Access, Vol 12, Pp 182203-182231 (2024)
This systematic review offers a comprehensive analysis of scheduling algorithms designed for scientific workflows, particularly those handling Big Data. By examining research published between 2010 and 2023, we aim to provide a structured overview of
Externí odkaz:
https://doaj.org/article/f40316a8e7ba45219485eeafdebc50d8
Autor:
Pulido-Gaytan, Bernardo1 (AUTHOR), Tchernykh, Andrei1,2 (AUTHOR) chernykh@cicese.mx
Publikováno v:
PLoS ONE. 7/22/2024, Vol. 19 Issue 7, p1-31. 31p.
As the population grows, the need for a quality level of medical services grows correspondingly, so does the demand for information technology in medicine. The concept of "Smart Healthcare" offers many approaches aimed at solving the acute problems f
Externí odkaz:
http://arxiv.org/abs/2106.11728
As the Internet of Things (IoT) becomes a part of our daily life, there is a rapid growth in connected devices. A well-established approach based on cloud computing technologies cannot provide the necessary quality of service in such an environment,
Externí odkaz:
http://arxiv.org/abs/2106.11726
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0306420 (2024)
The widespread adoption of cloud computing necessitates privacy-preserving techniques that allow information to be processed without disclosure. This paper proposes a method to increase the accuracy and performance of privacy-preserving Convolutional
Externí odkaz:
https://doaj.org/article/9411b06664d24867bb6207f4d7b8c7db
Publikováno v:
IEEE Access, Vol 11, Pp 102189-102206 (2023)
The security issues that arise in public cloud environments raise several concerns about privacy-preserving. Conventional security practices successfully protect stored and transmitted data by encryption, but not during data processing where the data
Externí odkaz:
https://doaj.org/article/d4c390fd66a94f09ae5ff4d03456e201
Publikováno v:
IEEE Access, Vol 11, Pp 26807-26819 (2023)
Improving the characteristics of digital signal processing devices is an important task in many practical problems. The paper proposes the architecture of a two-dimensional digital filter with a $5\times 5$ mask, in which calculations are performed a
Externí odkaz:
https://doaj.org/article/44df75ae6a57427c91acad973dbad4c0
Autor:
Alexander Feoktistov, Alexei Edelev, Andrei Tchernykh, Sergey Gorsky, Olga Basharina, Evgeniy Fereferov
Publikováno v:
Computation, Vol 11, Iss 12, p 243 (2023)
Implementing high-performance computing (HPC) to solve problems in energy infrastructure resilience research in a heterogeneous environment based on an in-memory data grid (IMDG) presents a challenge to workflow management systems. Large-scale energy
Externí odkaz:
https://doaj.org/article/3973a32b895a446594e74a50245d85b5