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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2020, Volume 60, Number 2, Pages 338–348
DOI: https://doi.org/10.31857/S0044466920020106
(Mi zvmmf11039)
 

This article is cited in 4 scientific papers (total in 4 papers)

Analysis of cluster damages in network systems

Yu. E. Malashenko, I. Nazarova, N. M. Novikova

Federal Research Center "Computer Science and Control", Russian Academy of Sciences, Moscow, 119333 Russia
Citations (4)
References:
Abstract: Changes in the functional characteristics of a multicommodity network with cluster architecture of the logical links depending on damages of edges of its physical topology graph are studied. The concept of a cluster damage is defined as a damage that separates at least one vertex from its sinks. The analysis is carried out on the class of minimum cluster damages. The stability of each cluster of logical links is analyzed with respect to the set of damages when the damage is not directly aimed at the source vertex of the cluster. Estimates of the cluster integrity on the whole and in terms of the undamaged (undivided) links remaining in the cluster are obtained. These estimates provide a basis for bi-criteria ranking of clusters depending on their susceptibility to nonrandom damages of the network. Characteristics of the minimum cluster damages and methods for their comparison are proposed. This approach can be used for a quick analysis of vulnerability of large territorially distributed systems, including telecommunication, communication, and control systems.
Key words: multicommodity flow network model, cluster structure of logical links, cluster damages, bi-criteria ranking.
Received: 20.03.2019
Revised: 10.07.2019
Accepted: 17.10.2019
English version:
Computational Mathematics and Mathematical Physics, 2020, Volume 60, Issue 2, Pages 341–351
DOI: https://doi.org/10.1134/S0965542520020098
Bibliographic databases:
Document Type: Article
UDC: 519.876
Language: Russian
Citation: Yu. E. Malashenko, I. Nazarova, N. M. Novikova, “Analysis of cluster damages in network systems”, Zh. Vychisl. Mat. Mat. Fiz., 60:2 (2020), 338–348; Comput. Math. Math. Phys., 60:2 (2020), 341–351
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/zvmmf/v60/i2/p338
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Журнал вычислительной математики и математической физики Computational Mathematics and Mathematical Physics
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    References:9
     
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