Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/16038
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dc.contributor.authorBerezhnoy, V. V.-
dc.contributor.authorБережной, В. В.-
dc.contributor.authorKuchukova, E. A.-
dc.contributor.authorКучукова, Е. А.-
dc.date.accessioned2021-06-22T14:27:51Z-
dc.date.available2021-06-22T14:27:51Z-
dc.date.issued2020-
dc.identifier.citationBerezhnoy, V.V., Kuchukova, E.A. Analysis of residue number system corrective properties for designing reliable cloud storage // 2020 International Conference Engineering and Telecommunication, En and T. - 2020. - Номер статьи 9431272ru
dc.identifier.urihttp://hdl.handle.net/20.500.12258/16038-
dc.description.abstractCreation of reliable and secure cloud storage is a complicated task, since this type of data storage and processing is efficient and cost effective. The Residue Number System (RNS) can be used to achieve the required level of data security and reliability. RNS is a non-positional number system, the use of which for data protection is promising. Redundant RNS allows the creation of correction codes. Such properties of error-correction codes as effectiveness, safety and reliability depend on the redundancy of the RNS. This paper evaluates the effectiveness of the RNS correction codes usage in multi-cloud data storage and processing systems by examining various sets of RNS moduliru
dc.language.isoenru
dc.publisherInstitute of Electrical and Electronics Engineers Inc.ru
dc.relation.ispartofseries2020 International Conference Engineering and Telecommunication, En and T 2020-
dc.subjectMulti-cloud storageru
dc.subjectRedundant Residue Number Systemru
dc.subjectCloud storageru
dc.subjectCorrective code capabilitiesru
dc.subjectDigital storageru
dc.subjectResidue number system (RNS)ru
dc.titleAnalysis of residue number system corrective properties for designing reliable cloud storageru
dc.typeСтатьяru
vkr.instИнститут математики и информационных технологий имени профессора Н.И. Червяковаru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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