Work place: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”/ Department of computer engineering, Department of information systems and technologies, Kyiv, 03056, Ukraine
E-mail: alexandr.ik97@ukr.net
Website: https://orcid.org/0000-0002-9086-6988
Research Interests: Distributed Systems
Biography
PHD Student Oleksandr Honcharenko, Department of Computer Engineering, National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine
(ORCID ID https://orcid.org/0000-0002-9086-6988)
Major interests: High-performance computer systems and networks: theory, methods and means of hardware and software implementation; design of fault-tolerant distributed computing systems; network topological organization.
By Artem Volokyta Heorhii Loutskii Oleksandr Honcharenko Oleksii Cherevatenko Volodymyr Rusinov Yurii Kulakov Serhii Tsybulia
DOI: https://doi.org/10.5815/ijcnis.2024.01.08, Pub. Date: 8 Feb. 2024
This article considers the method of analyze potentially vulnerable places during development of topology for fault-tolerant systems based on using betweenness coefficient. Parameters of different topological organizations using De Bruijn code transformation are observed. This method, assessing the risk for possible faults, is proposed for other topological organizations that are analyzed for their fault tolerance and to predict the consequences of simultaneous faults on more significant fragments of this topology.
[...] Read more.By Artem Volokyta Heorhii Loutskii Pavlo Rehida Artem Kaplunov Bohdan Ivanishchev Oleksandr Honcharenko Dmytro Korenko
DOI: https://doi.org/10.5815/ijcnis.2022.06.03, Pub. Date: 8 Dec. 2022
Scaling high performance computer systems needs increasing the fault tolerance at the design stage of a topology. There are several approaches of designing simple fast routing with fault tolerance. One of effective approach is to ensure fault tolerance at the topology level. This article discusses two methods for optimizing topologies synthesized using Dragonfly and Excess De Brujin. Methods of topology saturation are discusses, which allow to increase the dimension of the system without deterioration of topological characteristics due to the optimization of the synthesis method. Three scaling constraint methods are also proposed to reduce the topology dimension to the desired performance.
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